AWS CloudHSM provides hardware-based key management to manage and protect encryption keys in the AWS Cloud. It allows customers to generate and use their own encryption keys while complying withrigorous security requirements. WhileAWS Certificate Manager (ACM)manages SSL/TLS certificates, it does not handle encryption keys independently, andAWS License ManagerandAWS Directory Serviceare not designed for managing encryption keys. AWS KMS is also relevant for key management but wasn't listed as an option in this question.

Amazon S3 Glacier Flexible Retrieval is optimized for storing infrequently accessed data at a very low cost, making it suitable for data archiving and long-term backups. It provides flexible retrieval options for archived data. Other services like FSx for Lustre, EBS, and EFS are more suited for frequently accessed data and higher-performance use cases, not archival storage.

Security groups and network ACLs are two AWS services that can be used to block network traffic to an instance. Security groups are virtual firewalls that control the inbound and outbound traffic for your instances at the instance level. You can specify which protocols, ports, and source or destination IP addresses are allowed or denied for each instance. Security groups are stateful, which means that they automatically allow return traffic for any allowed inbound or outbound traffic123. Network ACLs are virtual firewalls that control the inbound and outbound traffic for your subnets at the subnet level. You can create rules to allow or deny traffic based on protocols, ports, and source or destination IP addresses. Network ACLs are stateless, which means that you have to explicitly allow return traffic for any allowed inbound or outbound traffic456. References: 1: Security groups for your VPC - Amazon Virtual Private Cloud, 2: Security Groups for Your VPC - Amazon Elastic Compute Cloud, 3: AWS Security Groups: Everything You Need to Know, 4: Network ACLs - Amazon Virtual Private Cloud, 5: Control traffic to subnetsusing network ACLs - Amazon Virtual Private Cloud, 6: AWS Network ACLs: Everything You Need to Know

One of the key advantages of cloud computing is the ability totrade fixed expenses (like data centers and physical servers) for variable expenses. With AWS, companies pay only for the compute power, storage, and other resources they use, rather than investing heavily in on-premises infrastructure upfront. This reduces capital expenditure and helps lower overall costs.

Why other options are not suitable:

A. Go global in minutes: Refers to the ability to quickly deploy applications around the world, but does not directly reduce upfront costs.

B. Increase speed and agility: Refers to the ability to quickly scale and deploy resources, but is not directly related to cost reduction.

C. Benefit from massive economies of scale: Refers to AWS's ability to lower costs by leveraging its scale, but the primary advantage for reducing upfront costs is moving from fixed to variable expenses.

The company is following the best practice of implementing loosely coupled dependencies by migrating the application to AWS and dividing the application into microservices. Loosely coupled dependencies are a design principle of the AWS Well-Architected Framework that helps to reduce the interdependencies between components and improve the scalability, reliability, and performance of the system. By breaking down the monolithic application into smaller, independent, and modular services, the company can reduce the complexity and maintenance costs, increase the agility and flexibility, and enable faster and more frequent deployments. AWS CloudFormation is an AWS service that provides the ability to manage infrastructure as code. Infrastructure as code is a process of defining and provisioning AWS resources using code or templates, rather than manual actions or scripts. AWS CloudFormation allows users to create and update stacks of AWS resources based on predefined templates that describe the desired state and configuration of the resources. AWS CloudFormation automates and simplifies the deployment and management of AWS resources, and ensures consistency and repeatability across different environments and regions. AWS CloudFormation also supports rollback, change sets, drift detection, and nested stacks features that help users to monitor andcontrol the changes to their infrastructure. References: Implementing Loosely Coupled Dependencies, What is AWS CloudFormation?

Amazon CloudFront is a content delivery network (CDN) that uses edge locations to cache content closer to users, reducing latency and improving performance. It supports the delivery of web content, such as videos and images, by caching copies at edge locations around the world. Amazon Kinesis, SQS, and Route 53 do not utilize edge locations for content caching.

On-Demand Instances are the most cost-efficient pricing model for an uninterruptible workload that runs once a year for 24 hours. On-Demand Instances let you pay for compute capacity by the hour or second, depending on which instances you run. No long-term commitments or up-front payments are required. You can increase or decrease your compute capacity to meet the demands of your application and only pay the specified hourly rates for the instance you use1. This model is suitable for developing/testing applications with short-term or unpredictable workloads2. The other pricing models are not cost-efficient for this use case. Reserved Instances and Savings Plans require a commitment to a consistent amount of usage, in USD per hour, for a term of 1 or 3 years. They provide significant discounts compared to On-Demand Instances, but they are not flexible or scalable for workloads that run only once a year12. Spot Instances are the cheapest option, but they are not suitable for uninterruptible workloads, as they can be reclaimed by AWS at any time. They are recommended for applications that have flexible start and end times, or that are only feasible at very low compute prices12. Dedicated Instances are designed for compliance and licensing requirements, not for cost optimization. They are more expensive than the other options, as they run on single-tenant hardware12. References: Amazon EC2 – Secure and resizable compute capacity – AWS, Amazon EC2 - How AWS Pricing Works

Amazon Elastic File System (Amazon EFS) is a fully managed, scalable, and serverless NFS (Network File System) file system specifically designed for use with AWS services and on-premises resources. It enables companies to create and configure file systems that can be accessed from multiple Amazon EC2instances simultaneously, making it ideal for use cases that require shared file storage for AWS compute services.

Why Amazon EFS Fits the Requirements:

Managed Service: Amazon EFS is a fully managed file storage service that simplifies the process of setting up and managing NFS file systems.

Scalability and Elasticity: EFS automatically scales to accommodate the storage needs of applications, without the need to provision or manage storage capacity.

NFS Compatibility: Amazon EFS natively supports the NFSv4 protocol, making it compatible with a wide range of applications and workloads that require NFS access.

Integration with AWS Compute Services: EFS integrates seamlessly with Amazon EC2 and other AWS services, providing a shared file storage solution across multiple instances and services within the AWS cloud environment.

Why Other Options Do Not Fit:

A. Amazon Elastic Block Store (Amazon EBS): While EBS provides block-level storage that can be attached to individual EC2 instances, it is not a file system, nor does it provide managed NFS file storage capabilities. EBS is designed for single-instance access rather than shared file access across multiple instances.

B. AWS Storage Gateway Tape Gateway: Tape Gateway is designed for archival purposes and allows companies to store virtual tape backups in Amazon S3 or Glacier. It does not support NFS file storage and is not intended for regular compute access.

C. Amazon S3 Glacier Flexible Retrieval: Amazon S3 Glacier is optimized for data archiving and long-term storage of infrequently accessed data, but it does not provide NFS file system capabilities, nor is it suitable for high-performance access needs associated with compute services.

For more details, you can refer to theAWS Cloud Practitioner Essentialscontent, specifically the modules onStorage Serviceswhere Amazon EFS is covered as the managed NFS file storage solution offered by AWS.

AWS Trusted Advisor is an online tool that provides you real time guidance to help you provision your resources following AWS best practices, including security and performance. It can help you monitor for misconfigured security groups that are allowing unrestricted access to specific ports. Amazon CloudWatch is a service that monitors your AWS resources and the applications you run on AWS. Amazon GuardDuty is a threat detection service that continuously monitors for maliciousactivity and unauthorized behavior. AWS Health Dashboard provides relevant and timely information to help you manage events in progress, and provides proactive notification to help you plan for scheduled activities.

AWS Shared Responsibility Model Overview:

AWS manages securityofthe cloud, including physical infrastructure and foundational services.

Customers are responsible for securityinthe cloud, which includes operating system configuration, data encryption, and application patch management.

Why Patch Management Is Shared:

AWS is responsible for patching the underlying infrastructure.

Customers are responsible for patching the operating system and applications they install on their resources (e.g., EC2 instances).

Why Other Options Are Incorrect:

A. Configuration of Amazon EC2 instance operating systems:Fully the customer’s responsibility.

B. Application file system server-side encryption:Customers configure and manage encryption.

D. Security of the physical infrastructure:Fully AWS’s responsibility.

AWS Secrets Manager is a service designed to securely store and manage access to sensitive information such as API keys, passwords, and database credentials. It allows automatic rotation, secure storage, and fine-grained access control for these credentials, ensuring they are securely managed. The other options do not provide encrypted storage for credentials specifically.

AWS Transit Gatewayis a network transit hub that customers can use to connect their Amazon VPCs and on-premises networks to a central hub. This service simplifies network management and reduces operational overhead by enabling a single gateway for managing multiple network connections. It facilitates seamless integration and routing between VPCs and on-premises networks.

A. Virtual private gateway: Incorrect, as it is used to connect a single VPC to an on-premises network through a VPN connection.

C. Internet gateway: Incorrect, as it provides internet access for instances in a VPC but does not connect multiple networks.

D. Customer gateway: Incorrect, as it represents the on-premises device or software application that connects to AWS, but it does not provide a central hub.

AWS Cloud References:

AWS Transit Gateway

Amazon Elastic Container Service (Amazon ECS) is a highly scalable, fast container management service that allows you to run, stop, and manage Docker containers on a cluster of Amazon EC2 instances or a serverless environment powered by AWS Fargate. It provides secure, reliable, and scalable operations for containers, allowing users to deploy containers in a highly secure and reliable manner. Amazon Aurora is a relational database service, Amazon Athena is an interactive query service, and Amazon Polly is a text-to-speech service. Therefore, the correct answer is Amazon ECS.

AWS Application Migration Service (AWS MGN) is the primary service for migrating Amazon EC2 instances and on-premises servers to AWS, and it supports migration from one AWS Region to another. It automates the process of replicating and converting the source servers (including their applications, configurations, and data) to run natively on AWS. AWS Database Migration Service (DMS) is for migrating databases, AWS DataSync is for data transfer, and AWS Migration Hub provides a single location to track migration tasks across multiple AWS services but does not perform the migration itself.

Amazon Elastic File System (Amazon EFS)is a scalable, fully managed, shared file storage service that is accessible from multiple Amazon EC2 instances. EFS is designed to provide highly available and durable file storage that can be mounted across multiple instances, making it ideal for shared file access.

Why other options are not suitable:

A. AWS Direct Connect: A network service to establish a dedicated network connection to AWS, not a file-sharing solution.

B. AWS Snowball Edge: A data transfer device for migrating data to and from AWS, not for ongoing file sharing.

C. AWS Backup: A service for centralized backup management, not for sharing files between EC2 instances.

Reserved Instances (RIs)offer a significant discount (up to 75%) compared to On-Demand pricing in exchange for committing to use AWS for a period of 1 or 3 years. This pricing model is ideal for applications with predictable usage patterns or long-term commitments, such as critical production systems that will be running for at least 3 years.

A. On-Demand Instances: Incorrect, as they provide flexibility without commitment but are more expensive over the long term.

C. Spot Instances: Incorrect, as they offer the lowest cost for non-critical, interruptible workloads but are not suitable for critical production systems due to their potential for sudden termination.

D. AWS Free Tier: Incorrect, as it provides limited free usage for certain AWS services for a short period (typically one year) and is not intended for long-term production workloads.

AWS Cloud References:

Amazon EC2 Reserved Instances

Amazon DynamoDBis a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It is designed to handle unstructured data, offers high durability, and provides easy querying capabilities using key-value or document data models, making it suitable for applications that continuously produce unstructured data.

Why other options are not suitable:

A. Amazon RDS: A relational database service that is more suited for structured data and SQL queries.

B. Amazon Aurora: A MySQL- and PostgreSQL-compatible relational database, also more suited for structured data.

C. Amazon QuickSight: A business intelligence service for data visualization, not for storing data.

AWS Database Migration Service (DMS) and AWS Schema Conversion Tool are the primary services for migrating a commercial relational database to an Amazon-managed open-source database. AWS DMS helps migrate the data, while the AWS Schema Conversion Tool converts the database schema from the source database format to the target format, including SQL code. AWS SDKs are for software development, AWS Systems Manager is for operational management, and Amazon EMR is for big data processing, which are not relevant to this use case.

According to the AWS shared responsibility model, AWS is responsible for protecting the infrastructure that runs all ofthe services offered in the AWS Cloud, such as data centers, hardware, software, networking, and facilities1. This includes the configuration of infrastructure devices, such as routers, switches, firewalls, and load balancers2. Customers are responsible for managing their data, applications, operating systems, security groups, and other aspects of their AWS environment1. Therefore, options A, B, and D are customer responsibilities, not AWS responsibilities. References: 1: AWS Well-Architected Framework - Elasticity; 2: Reactive Systems on AWS - Elastic

AWS Cloud Development Kit (AWS CDK) is an open source software development framework that allows you to model and provision your cloud infrastructure using familiar programming languages such as TypeScript, Python, Java, and .NET. AWS CDK enables you to use the expressive power of your favorite language to define your cloud resources, such as compute, storage, network, and application services. AWS CDK also provides a library of high-level constructs that represent AWS services and best practices. AWS CDK uses AWS CloudFormation in the background to deploy your resources in a safe and repeatable manner12. References:

AWS Cloud Development Kit (CDK) – TypeScript and Python are Now Generally Available

AWS Cloud Development Kit (AWS CDK) - Introduction to DevOps on AWS

Amazon ElastiCache is a fully managed in-memory data store service that is compatible with open source engines such as Redis and Memcached1. It provides fast and scalable performance for applications that require high throughput and low latency1. Amazon DynamoDB is a fully managed NoSQL database service that provides consistent and single-digit millisecond latency at any scale2. Amazon EBS is a block storage service that provides persistent and durable storage volumes for Amazon EC2 instances3. Amazon Redshift is a fully managed data warehouse service that allows users to run complex analytic queries using SQL4.

Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. CloudWatch provides you with data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services that run on AWS and on-premises servers

 AWS CloudFormation is a service that gives developers and businesses an easy way to create a collection of related AWS and third-party resources, and provision and manage them in an orderly and predictable fashion. You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS and third-party resources, and any associated dependencies or runtime parameters, required to run your application.

The correct answer is B because Application Load Balancer is an AWS load balancer that will meet the requirements and take the least amount of effort to deploy. Application Load Balancer is a type of Elastic Load Balancing that operates at the application layer (layer 7) of the OSI model and routes requests to targets based on the content of the request. Application Load Balancer supports advanced features, such as path-based routing, host-based routing, and HTTP header-based routing. The other options are incorrect because they are not AWS load balancers that will meet the requirements and take the least amount of effort to deploy. Network Load Balancer is a type of Elastic Load Balancing that operates at the transport layer (layer 4) of the OSI model and routes requests to targets based on the destination IP address and port. Network Load Balancer does not support path-based routing. AWS OpsWorks Load Balancer is not an AWS load balancer, but rather a feature of AWS OpsWorks that enables users to attach an Elastic Load Balancing load balancer to a layer of their stack. Custom Load Balancer on Amazon EC2 is not an AWS load balancer, but rather a user-defined load balancer that runs on an Amazon EC2 instance. Custom Load Balancer on Amazon EC2 requires more effort to deploy and maintain than an AWS load balancer. Reference: Elastic Load Balancing

AWS Direct Connect is a service that establishes a dedicated network connection between your on-premises network and one or more AWS Regions. AWS Direct Connect can be used to create a private connection between an on-premises workload and an AWS Cloud workload, bypassing the public internet and reducing network costs, latency, and bandwidth issues. AWS Direct Connect can also provide increased security and reliability for your hybrid cloud applications and data transfers. References:

AWS Direct Connect

What is AWS Direct Connect?

AWS Direct Connect User Guide

AWS Trusted Advisoris a service that provides real-time guidance to help you provision your resources following AWS best practices. It offers checks in five categories: cost optimization, performance, security, fault tolerance, and service limits. By continuously monitoring the AWS environment, AWS Trusted Advisor helps ensure that additional developments, integrations, changes, and growth do not jeopardize the optimized infrastructure by providing ongoing optimization and security recommendations.

B. AWS Health Dashboard: Incorrect, as it provides personalized view of service health and status updates but does not offer continuous optimization and security advice.

C. Amazon Connect: Incorrect, as it is a contact center service, not related to infrastructure optimization or security.

D. AWS Systems Manager: Incorrect, as it provides operational insights and management for AWS resources but is not specifically focused on ongoing optimization and security checks.

AWS Cloud References:

AWS Trusted Advisor

Amazon CloudFront is a fast content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency, high transfer speeds, all within a developer-friendly environment. CloudFront enables companies to deploy an application close to end users by caching the application’s content at edge locations that are geographically closer to the users. This reduces the network latency and improves the user experience. CloudFront also integrates with other AWS services, such as Amazon S3, Amazon EC2, AWS Lambda, AWS Shield, and AWS WAF, to provide a secure and scalable solution for delivering applications12. References:

What Is Amazon CloudFront? - Amazon CloudFront

Amazon CloudFront Features - Amazon CloudFront

Under the AWS shared responsibility model, AWS is responsible for the security "of" the cloud, which includes the physical infrastructure, networking, and hypervisor layer. The customer, however, is responsible for security "in" the cloud, which includes managing the security of their data, patching and maintaining their guest operating system and applications, and managing identity and access. The responsibilities of shredding disk drives, preventing packet capture at the hypervisor level, and physical monitoring are handled by AWS as part of its responsibility for security "of" the cloud.

Amazon RDS is the AWS service that will meet the requirements of migrating a relational database server to the AWS Cloud and minimizing administrative overhead of database maintenance tasks. Amazon RDS is a fully managed relational database service that handles routine database tasks, such as provisioning, patching, backup, recovery, failure detection, and repair. Amazon RDS supports several database engines, such as MySQL, PostgreSQL, Oracle, SQL Server, and Amazon Aurora5.

AWS Global Accelerator is a service that improves network performance by sending traffic through the AWS worldwide network infrastructure. It uses the AWS global network to direct TCP or UDP traffic to a healthy application endpoint in the closest AWS Region to the client. This provides improvements in terms of latency, throughput, and jitter. Global Accelerator also introduces features such as TCP termination at the edge, jumbo frame support, and large receive side window and TCP buffers to optimize data transfer12. Route table, AWS Transit Gateway, and Amazon VPC are not services or features that improve network performance by sending traffic through the AWS worldwide network infrastructure. Route table is a resource that defines how traffic is routed within a VPC3. AWS Transit Gateway is a service that enables you to connect your VPCs and on-premises networks to a single gateway4. Amazon VPC is a service that lets you provision a logically isolated section of the AWS Cloud where you can launch AWS resources in a virtual network that you define5. References: Achieve up to 60% better performance for internet traffic with AWS Global Accelerator, Improving Performance on AWS and Hybrid Networks, Route tables, AWS Transit Gateway, Amazon Virtual Private Cloud (VPC)

AWS Software Development Kit (SDK) is a set of platform-specific building tools for developers. It allows developers to access AWS services from application code using familiar programming languages. It provides pre-built components and libraries that can be incorporated into applications, as well as tools to debug, monitor, and optimize performance2. References: What is SDK? - SDK Explained - AWS

Global reach is a cloud computing advantage that a company can apply when it uses AWS Regions to increase application availability to users in different countries. Global reach refers tothe ability to deploy applications and services in multiple geographic locations around the world, and to serve customers with low latency and high performance. AWS has the largest and most reliable global infrastructure of any cloud provider, with 25 Regions and 81 Availability Zones across the Americas, Europe, Asia Pacific, Africa, and the Middle East123. By using AWS Regions, a company can choose the best location for its application based on customer proximity, compliance requirements, and disaster recovery strategies23. References: 1: AWS Global Infrastructure - Amazon Web Services (AWS), 2: Regions and Availability Zones - Amazon Elastic Compute Cloud, 3: AWS Infrastructure: Regions and Availability Zones Explained

 AWS Direct Connect gives users the ability to provision a dedicated and private network connection from their internal network to AWS. AWS Direct Connect links the user’s internal network to an AWSDirect Connect location over a standard Ethernet fiber-optic cable. One end of the cable is connected to the user’s router, the other to an AWS Direct Connect router. With this connection in place, the user can create virtual interfaces directly to the AWS cloud and Amazon Virtual Private Cloud (Amazon VPC), bypassing internet service providers in the network path2.

According to theAWS Shared Responsibility Model, the customer is responsible for managing the guest operating system (including patches and updates) and any applications that they run on their Amazon EC2 instances.

Why other options are not suitable:

B. Control physical access to an AWS data center: AWS is responsible for the physical security of its data centers.

C. Control access to AWS underlying hardware: AWS manages the hardware infrastructure.

D. Patch a host operating system that is deployed on Amazon S3: Amazon S3 is a managed storage service, and AWS manages the underlying infrastructure, including the operating system.

AWS WAF is a web application firewall that helps protect web applications from common web exploits, such as SQL injection attacks. It allows customers to create custom rules that block malicious requests. AWS Shield is a managed service that protects against distributed denial of service (DDoS) attacks, not SQL injection attacks. Network ACLs and security groups are network-level security features that filter traffic based on IP addresses and ports, not web requests or SQL queries. References: [AWS WAF], [AWS Shield], [Network ACLs], [Security groups]

 The benefit of the AWS Cloud that helps companies achieve lower usage costs because of the aggregate usage of all AWS users is economies of scale. Economies of scale means that AWS can achieve lower costs and higher efficiency by operating at a massive scale and passing the savings to the customers. AWS leverages the aggregate usage of all AWS users to negotiate better prices with hardware vendors, optimize power consumption, and improve operational processes. As a result, AWS can offer lower and more flexible pricing options to the customers, such as pay-as-you-go, reserved, and spot pricing models. No need to guess capacity, ability to go global in minutes, and increased speed and agility are other benefits of the AWS Cloud, but they are not directly related to the aggregate usage of all AWS users. No need to guess capacity means that AWS customers can avoid the risk of over-provisioning or under-provisioning resources, and scale up or down as needed. Ability to go global in minutes means that AWS customers can deploy their applications and data in multiple regions around the world, and deliver them to users with high performance and availability. Increased speed and agility means that AWS customers can quickly and easily provision and access AWS resources, and accelerate their innovation and time to market.

AWS Cost Explorer provides a visualization of historical AWS spending patterns and allows users to project future costs based on past usage. It offers advanced filtering and grouping features, enabling users to analyze costs and usage at a granular level. The AWS Cost and Usage Report provides detailed AWS cost and usage data but does not offer visualization or future cost projections. AWS Budgets is used for setting custom cost and usage budgets and receiving alerts. Amazon CloudWatch is for monitoring AWS resources and applications, not for cost management.

Amazon Neptuneis a fully managed graph database service optimized for storing and querying highly connected data. It supports popular graph models such as Property Graph and W3C's RDF, making it ideal for building graph queries for real-time fraud pattern detection and other applications that require complex relationships and data traversal.

B. Amazon DynamoDB: Incorrect, as it is a NoSQL database service that is not optimized for graph queries.

C. Amazon Timestream: Incorrect, as it is a time-series database service designed for storing and analyzing time-series data, not graph data.

D. Amazon Forecast: Incorrect, as it is a fully managed service that provides time-series forecasting capabilities, not for graph queries.

AWS Cloud References:

Amazon Neptune

Understanding IAM Roles: IAM (Identity and Access Management) roles in AWS are designed to delegate access permissions without sharing long-term security credentials. This means applications and services can use temporary security credentials, which enhances security.

Why IAM Roles are Best Practice:

Least Privilege Principle: By using IAM roles, you can ensure that applications only have the minimum permissions they need to function, reducing the risk of unauthorized access.

Temporary Credentials: Roles provide temporary security credentials, which reduce the risk if they are compromised compared to long-term access keys.

Automated Rotation: Temporary credentials automatically expire and are rotated, which means you don’t have to manage the rotation manually.

How to Implement IAM Roles:

Create an IAM Role: In the AWS Management Console, navigate to IAM, and create a new role. Choose the type of trusted entity (e.g., EC2, Lambda).

Attach Policies: Attach the necessary policies to the role that define the permissions for accessing the S3 bucket.

Assign Role to Service: Attach the IAM role to your EC2 instances, Lambda functions, or other AWS services that need to access the S3 bucket.

Use AWS SDKs: When accessing S3 from your application, use the AWS SDKs to automatically assume the IAM role and obtain temporary credentials.

AWS Identity and Access Management (IAM)

IAM Roles

AWS Secrets Manager is a service that helps you protect access to your applications, services, and IT resources. This service enables you to easily rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle. Users and applications retrieve secrets with a call to Secrets Manager APIs, eliminating the need to hardcode sensitive information in plain text. Secrets Manager offers secret rotation with built-in integration for Amazon RDS, Amazon Redshift, Amazon DocumentDB, and other AWS services1. You can also extend Secrets Manager to rotate other types of secrets, such as credentials for Oracle, SQL Server, or MongoDB databases, by using custom AWS Lambda functions2. Secrets Manager enables you to control access to secrets using fine-grained permissions and audit secret rotation centrally for resources in the AWS Cloud, third-party services, and on-premises3. Therefore, AWS Secrets Manager supports the requirement of rotating database user credentials with the least amount of operational overhead, compared to the other options. References:

What Is AWS Secrets Manager? - AWS Secrets Manager

Rotating Your AWS Secrets Manager Secrets - AWS Secrets Manager

AWS Secrets Manager Features - AWS Secrets Manager

TheBusiness perspectiveof the AWS Cloud Adoption Framework (AWS CAF) focuses on ensuring that cloud investments align with business strategies and that the organization achieves business value from cloud adoption. It provides real-time insights into the organization's strategic goals, financial objectives, and metrics.

This perspective helps answer questions about strategy, ensuring that cloud adoption aligns with the organization's long-term business goals.

Why other options are not suitable:

A. Operations: Focuses on operating cloud environments effectively.

B. People: Focuses on human resources and organizational structure.

D. Platform: Focuses on infrastructure and architecture.

Amazon CloudFrontis a content delivery network (CDN) that helps deliver your website content globally with low latency by caching copies of your website content at edge locations around the world. This helps ensure that users receive content from the edge location closest to them, thereby reducing latency and improving user experience.

A. Amazon Route 53: Incorrect, as it is a DNS web service that routes users to the appropriate endpoint, but it does not cache content or reduce latency.

C. Elastic Load Balancing: Incorrect, as it distributes incoming application or network traffic across multiple targets, but does not cache content globally.

D. AWS Lambda: Incorrect, as it is a serverless compute service, not intended for content delivery.

AWS Cloud References:

Amazon CloudFront

ANetwork ACL (Access Control List)is a stateless firewall that controls inbound and outbound traffic at the subnet level within a VPC. It provides an additional layer of security to the VPC by allowing or denying traffic to and from a subnet based on defined rules.

A. Security group: Incorrect, as security groups act as a firewall at the instance level, not the subnet level.

C. Elastic network interface: Incorrect, as it is a virtual network interface that you can attach to an instance, not a firewall feature.

D. AWS WAF: Incorrect, as it is a web application firewall that protects web applications from common exploits, not for subnet-level protection.

AWS Cloud References:

Network ACLs

Understanding the Reliability Pillar: The Reliability pillar of the AWS Well-Architected Framework focuses on the ability of a system to recover from infrastructure or service disruptions, dynamically acquire computing resources to meet demand, and mitigate disruptions such as misconfigurations or transient network issues.

Key Concepts of Reliability:

Foundations: Ensure a solid foundation on which to build, including AWS account management, limits, and networking.

Change Management: Manage changes in automation to ensure systems remain reliable during modifications.

Failure Management: Design systems to detect failures and automatically recover from them.

How to Align with Reliability Pillar:

Implement Multi-AZ Deployments: Deploy applications across multiple Availability Zones to ensure fault tolerance.

Use Auto Scaling: Automatically adjust resources to maintain system performance during demand fluctuations.

Monitor and Respond: Implement monitoring and alerting mechanisms using services like CloudWatch to detect and respond to issues proactively.

AWS Well-Architected Framework: Reliability Pillar

 Using AWS Artifact to access AWS documents about the compliance of the services, and getting the compliance of the application certified by a company assessor are actions that the company should take to meet the requirements of complying with credit card regulatory requirements. AWS Artifact is a service that provides on-demand access to AWS security and compliance reports and select online agreements. Reports available in AWS Artifact include our Service Organization Control (SOC) reports, Payment Card Industry (PCI) reports, and certifications from accreditation bodies across geographies and compliance verticals that validate the implementation and operating effectiveness of AWS security controls. AWS Artifact can help you demonstrate compliance with credit card regulatory requirements by providing you with proof that the AWS services and deployment are in compliance. Getting the compliance of the application certified by a company assessor is an action that the company should take to ensure that the application meets the specific requirements of the credit card industry. A company assessor is an independent third-party entity that is qualified to assess the compliance of the application with the relevant standards and regulations. Using Amazon Inspector to submit the application for certification is not an action that the company should take, because Amazon Inspector is a service that helps you improve the security and compliance of your applications deployed on AWS by automatically assessing them for vulnerabilities and deviations from best practices, but it does not provide certification for the applications. Ensuring that the application’s underlying hardware components comply with requirements is not an action that the company should take, because the application is deployed on AWS, and AWS is responsible for the security and compliance of the underlying hardware components. This is part of the shared responsibility model, where AWS is responsible for security of the cloud, and customers are responsible for security in the cloud. Using AWS Security Hub to certify the compliance of the application is not an action that the company should take, because AWS Security Hub is a service that gives you a comprehensive view of your security posture acrossyour AWS accounts and helps you check your environment against security industry standards and best practices, but it does not provide certification for the applications.

When you run a NoSQL database on Amazon EC2 instances, you are responsible for managing the database layer and the guest operating system of the instances. This means that you need to perform tasks such as updating the operating system, maintaining high availability, and configuring the security group firewall. AWS is responsible for managing the physical infrastructure that hosts the EC2 instances. This means that AWS ensures that the hardware and firmware of the servers, routers, switches, and other devices are updated and secure. AWS also handles the power, cooling, networking, and security of the data centers12. References: CLF-C02: Which task is responsibility of AWS to run NoSQL database on …, Best Practices for Hosting NoSQL Databases on Amazon EC2

An access key is a pair of long-term credentials that consists of an access key ID and a secret access key. An access key is used to sign programmatic requests to the AWS CLI or AWS API (directly or using the AWS SDK). An access key allows a user to access the AWS account through a CLI, which is a tool that enables users to interact with AWS services using commands in a terminal or a script12.

The other options are not correct, because:

To access the AWS account as the AWS account root user, a user needs the email address and password associated with the account. The root user has complete access to all AWS resources and services in the account. However, it is not recommended to use the root user for everyday tasks3.

To access the AWS account through the AWS Management Console, a user needs a user name and password. The console is a web-based interface that allows users to manage their AWS resources and services using a graphical user interface4.

To access all of a company’s AWS accounts, a user needs to use AWS Organizations, which is a service that enables users to centrally manage and govern multiple AWS accounts. AWS Organizations allows users to create groups of accounts and apply policies to them5.

Managing access keys for IAM users - AWS Identity and Access Management

What Is the AWS Command Line Interface? - AWS Command Line Interface

AWS account root user - AWS Identity and Access Management

What Is the AWS Management Console? - AWS Management Console

What Is AWS Organizations? - AWS Organizations

AWS Trusted Advisor is the AWS service that provides real-time guidance for provisioning resources, based on AWS best practices related to security, cost optimization, and service limits. AWS Trusted Advisor inspects the user’s AWS environment and provides recommendations for improving performance, security, and reliability, reducing costs, and following best practices. AWS TrustedAdvisor also alerts the user when they are approaching or exceeding their service limits, and helps them request limit increases3.

AWS Storage Gateway file gateway allows companies to use protocols such as NFS and SMB to store and retrieve objects in Amazon S3. File gateway provides a seamless integration between on-premises applications and Amazon S3, and enables low-latency access to data through local caching. File gateway also supports encryption, compression, and lifecycle management of the objects in Amazon S3. For more information, see What is AWS Storage Gateway? and File Gateway.

The correct answer is D because AWS Enterprise Support is the support plan that provides customers with access to an AWS technical account manager (TAM). AWS Enterprise Support is the highest level of support plan offered by AWS, and it provides customers with the most comprehensive and personalized support experience. An AWS TAM is a dedicated technical resource who works closely with customers to understand their business and technical needs, provide proactive guidance, and coordinate support across AWS teams. The other options are incorrect because they are not support plans that provide customers with access to an AWS TAM. AWS Basic Support is the default and free support plan that provides customers with access to online documentation, forums, and account information. AWS Developer Support is the lowest level of paid support plan that provides customers with access to technical support during business hours, general guidance, and best practice recommendations. AWS Business Support is the intermediate level of paid support plan that provides customers with access to technical support 24/7, system health checks, architectural guidance, and case management. Reference: AWS Support Plans

Understanding Cost Optimization Recommendations: In AWS, cost optimization involves identifying ways to reduce costs while maintaining or improving performance and capacity.

Top-Level KPI - Estimated Monthly Saving:

Definition: This KPI provides an estimate of how much you can save per month by following the recommended actions.

Importance: It helps you quantify the potential cost savings from rightsizing, purchasing reserved instances, or optimizing resource usage.

Decision-Making: Provides a clear financial benefit to justify changes in your resource configurations.

How to Use Estimated Monthly Saving:

Access Recommendations: Navigate to the AWS Cost Management Console to view rightsizing recommendations.

Review Savings Estimates: Look at the estimated monthly savings for each recommendation to understand the potential financial impact.

Implement Recommendations: Prioritize actions based on the savings estimates to maximize cost reduction.

AWS Cost Management

AWS Rightsizing Recommendations

AWS Identity and Access Management (IAM) is a service that allows users to manage access to AWS resources and services. It enables users to create and manage users, groups, roles, and policies that control who can do what in AWS. IAM is always free of charge for users, as there is no additional cost for using IAM with any AWS service1. Amazon S3 is a storage service that provides scalable, durable, and secure object storage. Amazon S3 has a free tier that offers 5 GB of storage, 20,000 GET requests, and 2,000 PUT requests per month for one year. However, users are charged for any additional usage beyond the free tier limits2. Amazon Aurora is a relational database service that is compatible with MySQL and PostgreSQL. Amazon Aurora has a free tier that offers 750 hours of Aurora Single-AZ db.t2.small database usage and 20 GB of storage per month for one year. However, users are charged for any additional usage beyond the free tier limits3. Amazon EC2 is a compute service that provides resizable virtual servers. Amazon EC2 has a free tier that offers 750 hours of Linux and Windows t2.micro instances per month for one year. However, users are charged for any additional usage beyond the free tier limits4.

 According to the AWS shared responsibility model, AWS is responsible for the security of the cloud, while the user is responsible for the security in the cloud. This means that AWS manages the security and maintenance of the underlying infrastructure, such as the servers, networks, and operating systems, while the user manages the security and configuration of the resources and applications that run on AWS. For AWS Lambda functions, the tasks that are the user’s responsibility are:

Establish the IAM permissions that define who can run the Lambda functions. IAM is a service that enables users to manage access and permissions for AWS resources and users. Users can create IAM policies, roles, and users to grant or deny permissions to run Lambda functions, invoke other AWS services, or access AWS resources from Lambda functions. [AWS Lambda Permissions] AWS Certified Cloud Practitioner - aws.amazon.com

Write the code for the Lambda functions to define the application logic. Lambda functions are units of code that can be written in any supported programming language, such as Python, Node.js, Java, or Go. Users can write the code for the Lambda functions using the AWS Management Console, the AWS Command Line Interface (AWS CLI), the AWS SDKs, or any code editor of their choice. Users can also use AWS Lambda Layers to share and manage common code and dependencies across multiple functions. [AWS Lambda Overview] AWS Certified Cloud Practitioner - aws.amazon.com

 Establishing an AWS Direct Connect connection between the VPC and the company’s on-premises network is the action that the company should take to meet the requirement of having a dedicated connection between the VPC and the company’s on-premises network. AWS Direct Connect is a service that lets you establish a dedicated network connection between your network and one of the AWS Direct Connect locations. Using AWS Direct Connect, you can create a private connection between AWS and your datacenter, office, or colocation environment, which can reduce your network costs, increase bandwidth throughput, and provide a more consistent network experience than internet-based connections. Establishing a VPN connection between the VPC and the company’s on-premises network is an action that the company can take to create a secure and encrypted connection between the VPC and the company’s on-premises network, but it is not a dedicated connection, as it uses the public internet as the transport mechanism. Attaching an internet gateway to the VPC and using the AWS public endpoints for connectivity is an action that the company can take to enable communication between the VPC and the internet, but it is not a dedicated connection, as it also uses the public internet as the transport mechanism. Configuring Amazon Connect to provide connectivity between the VPC and the company’s on-premises network is not an action that the company can take, because Amazon Connect is a service that lets you set up and manage a contact center in the cloud, but it does not provide network connectivity between the VPC and the company’s on-premises network.

Customers share responsibility with AWS for security and compliance of AWS accounts and resources. This is part of the AWS shared responsibility model, which defines the division of responsibilities between AWS and the customer for security and compliance. AWS is responsible for the security of the cloud, which includes the physical and environmental controls of the AWS global infrastructure, such as power, cooling, fire suppression, and physical access. The customer is responsible for the security in the cloud, which includes the configuration and management of the AWS resources and applications, such as identity and access management, encryption, firewall, and backup. For more information, see AWS Shared Responsibility Model and AWS Cloud Security.

AWS Application Discovery Service helps companies gather information about on-premises data centers to support migration planning. It collects data on system configuration, resource utilization, and network dependencies, providing essential insights for migration. AWS DataSync and Storage Gateway are used for data transfer, while AWS DMS is for database migration specifically.

The correct answer is B because placing the EC2 instances in two separate Availability Zones within the same AWS Region is the best way to meet the requirement. Availability Zones are isolated locations within an AWS Region that have independent power, cooling, and networking. Users can launch their resources, such as Amazon EC2 instances, in multiple Availability Zones to increase the fault tolerance and resilience of their applications. Availability Zones within the same AWS Region are connected with low-latency, high-throughput, and highly redundant networking. The other options are incorrect because they are not the best ways to meet the requirement. Placing the EC2 instances in two separate AWS Regions connected with a VPC peering connection is not the best way to meet the requirement because AWS Regions are geographically dispersed and may have higher communication latency between them than Availability Zones within the same AWS Region. VPC peering connection is a networking connection between two VPCs that enables users to route traffic between them using private IP addresses. Placing one EC2 instance on premises and the other in an AWS Region, and then connecting them by using an AWS VPN connection is not the best way to meet the requirement because on-premises and AWS Region are geographically dispersed and may have higher communication latency between them than Availability Zones within the same AWS Region. AWS VPN connection is a secure and encrypted connection between a user’s network and their VPC. Placing both EC2 instances in a placement group for dedicated bandwidth is not the best way to meet the requirement because a placement group is a logical grouping of instances within a single Availability Zone that enables users to launch instances with specific performance characteristics. A placement group does not ensure that the instances are in separate data centers, and it does not provide low-latency communication between instances in different AvailabilityZones. Reference: [Regions, Availability Zones, and Local Zones], [VPC Peering], [AWS VPN], [Placement Groups]

Understanding AWS Compute Optimizer: AWS Compute Optimizer is a service that analyzes the configuration and utilization metrics of your AWS resources. It provides recommendations to help you select the optimal configurations for your workloads.

Why AWS Compute Optimizer for Rightsizing:

Resource Recommendations: It provides specific recommendations to rightsize your EC2 instances by suggesting instance types that match your actual usage patterns.

Cost Efficiency: By optimizing instance sizes, you can reduce costs associated with over-provisioned resources.

Performance Improvement: Ensures that you are using instances that provide the required performance without over-allocating resources.

How to Implement AWS Compute Optimizer:

Enable AWS Compute Optimizer: In the AWS Management Console, navigate to AWS Compute Optimizer and enable it for your account.

Review Recommendations: After a period of monitoring, review the recommendations provided for your EC2 instances.

Implement Changes: Follow the suggestions to resize or change instance types based on the recommendations, ensuring you balance cost savings with performance needs.

AWS Compute Optimizer

The correct answers to the questions are B and E because reliability and operational excellence are pillars of the AWS Well-Architected Framework. The AWS Well-Architected Framework is a set of best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. The AWS Well-Architected Framework consists of five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization. Each pillar has a set of design principles that describe the characteristics of a well-architected system. Reliability is the pillar that focuses on the ability of a system to recover from failures and meet business and customer demand. Operational excellence is the pillar that focuses on the ability of a system to run and monitor processes that support business outcomes and continually improve. The other options are incorrect because they are not pillars of the AWS Well-Architected Framework. Availability, scalability, and responsive design are important aspects of cloud architecture, but they are not separate pillars in the framework. Availability and scalability are related to the reliability and performance efficiency pillars, while responsive design is related to the customer experience and user interface. Reference: AWS Well-Architected Framework

 The correct answer is B because AWS CloudTrail is an AWS service that a cloud engineer can use to view API calls to AWS services. AWS CloudTrail is a service that enables customers to track user activity and API usage across their AWS account. AWS CloudTrail records the details of every API call made to AWS services, such as the identity of the caller, the time of the call, the source IP address of the caller, the parameters and responses of the call, and more. Customers can use AWS CloudTrail to audit, monitor, and troubleshoot their AWS resources and actions. The other options are incorrect because they are not AWS services that a cloud engineer can use to view API calls to AWS services. Amazon CloudWatch is an AWS service that enables customers to collect, analyze, and visualize metrics, logs, and events from their AWS resources and applications. AWS Config is an AWS service that enables customers to assess, audit, and evaluate the configurations of their AWS resources. AWS Artifact is an AWS service that provides customers with on-demand access to AWS compliance reports and select online agreements. Reference: AWS CloudTrail FAQs

 One of the advantages of AWS Cloud computing is that it minimizes variable costs by leveraging economies of scale. This means that AWS can achieve lower costs per unit of computing resources by spreading the fixed costs of building and maintaining data centers over a large number of customers. As a result, AWS can offer lower and more predictable prices to its customers, who only pay for the resources they consume. Therefore, the correct answer is B. You can learn more about AWS pricing and economies of scale

The costs that the company will eliminate with this migration are the cost of application licensing and the cost of physical server hardware. The cost of application licensing is the fee that the company has to pay to use the software applications on its on-premises servers. The cost of physical server hardware is the expense that the company has to incur to purchase, maintain, and upgrade the servers and related equipment. By migrating to the AWS Cloud, the company can avoid these costs by using the AWS services and resources that are already licensed and managed by AWS. For more information, see [Cloud Economics] and [AWS Total Cost of Ownership (TCO) Calculator].

 AWS Config and service control policies (SCPs) are AWS services or features that the company can use to create and define controls (guardrails) in a newly created AWS Control Tower landing zone. AWS Config is a service that enables users to assess, audit, and evaluate the configurations of their AWS resources. It can be used to create rules that check for compliance with the desired configurations and report any deviations. AWS Control Tower provides a set of predefined AWS Config rules that can be enabled as guardrails to enforce compliance across the landing zone1. Service control policies (SCPs) are a type of policy that can be used to manage permissions in AWS Organizations. They can be used to restrict the actions that the users and roles in the member accounts can perform on the AWS resources. AWS Control Tower provides a set of predefined SCPsthat can be enabled as guardrails to prevent access to certain services or regions across the landing zone2. Amazon GuardDuty is a service that provides intelligent threat detection and continuous monitoring for AWS accounts and resources. It is not a feature that can be used to create and define controls (guardrails) in a landing zone. AWS Identity and Access Management (IAM) is a service that allows users to manage access to AWS resources and services. It can be used to create users, groups, roles, and policies that control who can do what in AWS. It is not a feature that can be used to create and define controls (guardrails) in a landing zone. Security groups are virtual firewalls that control the inbound and outbound traffic for Amazon EC2 instances. They can be used to allow or deny access to an EC2 instance based on the port, protocol, and source or destination. They are not a feature that can be used to create and define controls (guardrails) in a landing zone.

AWS CloudFormation is a service that allows you to model and provision your AWS resources using templates. You can define your infrastructure as code and automate the creation and update of your resources. AWS CloudFormation also supports nested stacks, change sets, and rollback features to help you manage complex and dynamic environments34. References:

AWS CloudFormation

AWS Certified Cloud Practitioner Exam Guide

Amazon Route 53 is a highly available and scalable DNS web service. It is designed to give developers and businesses an extremely reliable and cost-effective way to route end users to Internet applications by translating domain names into the numeric IP addresses that computers use to connect to each other2. Amazon Route 53 also offers other features such as health checks, traffic management, domain name registration, and DNSSEC3.

 The AWS service that will meet the requirements of the company that needs to host a highly available application in the AWS Cloud that runs infrequently for short periods of time with the least amount of operational overhead is AWS Lambda. AWS Lambda is a serverless compute service that allows customers to run code without provisioning or managing servers. The company can use AWS Lambda to create and deploy their application as functions that are triggered by events, such as API calls, messages, or schedules. AWS Lambda automatically scales the compute resources based on the demand, and customers only pay for the compute time they consume. AWS Lambda also simplifies the management and maintenance of the application, as customers do not need to worry about the underlying infrastructure, security, or availability. Amazon EC2, AWS Fargate, and Amazon Aurora are not the best services to use for this purpose. Amazon EC2 is a service that provides scalable compute capacity in the cloud, and allows customers to launch and run virtual servers, called instances, with a variety of operating systems, configurations, and specifications. Amazon EC2 requires customers to provision and manage the instances, and pay for the instance hours they use, regardless of the application usage. AWS Fargate is a serverless compute engine for containers that allows customers to run containerized applications without managing servers or clusters. AWS Fargate requires customers to specify the amount of CPU and memory resources for each container, and pay for the resources they allocate, regardless of the application usage. Amazon Aurora is a fully managed relational database service that provides high performance, availability, and compatibility. Amazon Aurora is not a compute service, and it is not suitable for hosting an application that runs infrequently for short periods of time12

An IAM credential report is a feature of AWS Identity and Access Management (IAM) that allows you to view and download a report that lists all IAM users in your account and the status of their various credentials, such as passwords, access keys, and MFA devices. You can use this reportto audit the security status of your IAM users and ensure that they follow the best practices for credential management1. References: 1: AWS Documentation - IAM User Guide - Getting credential reports for your AWS account

TheRehostmigration strategy, often referred to as “lift-and-shift,” involves moving applications to the cloud with minimal or no modifications. This approach is suitable when a company wants to migrate legacy workloads to AWS without altering them. Other strategies, such asRepurchase,Replatform, andRefactor, involve making changes to the application or adopting different services, which is not aligned with the requirement to avoid modifications.

 Resource elasticity is an AWS value proposition that describes a user’s ability to scale infrastructure based on demand. Resource elasticity means that the user can provision or deprovision resources quickly and easily, without any upfront commitment or long-term contract. Resource elasticity can help the user optimize the cost and performance of the application, as well as respond to changing business needs and customer expectations. Resource elasticity can be achieved by using services such as Amazon EC2, Amazon S3, Amazon RDS, Amazon DynamoDB, Amazon ECS, and AWS Lambda. [AWS Cloud Value Framework] AWS Certified Cloud Practitioner - aws.amazon.com

The company follows the AWS Cloud design principle of ensuring traceability by using AWS CloudTrail. AWS CloudTrail is a service that records the API calls and events made by or on behalf of the AWS account. The company can use AWS CloudTrail to monitor, audit, and analyze the activity and changes in their AWS resources and applications. AWS CloudTrail helps the company to achieve compliance, security, governance, and operational efficiency. Recovering automatically, performing operations as code, and measuring efficiency are other AWS Cloud design principles, but they are not directly related to using AWS CloudTrail. Recovering automatically means that the company can design their cloud workloads to handle failures gracefully and resume normal operations without manual intervention. Performing operations as code means that the company can automate the creation, configuration, and management of their cloud resources using scripts or templates. Measuring efficiency means that the company can monitor and optimize the performance and utilization of their cloud resources and applications34

 The correct answers are C and D because S3 bucket policies and IAM user policies are AWS features that will meet the requirements. S3 bucket policies are access policies that can be attached to Amazon S3 buckets to grant or deny permissions to the bucket and the objects it contains. S3 bucket policies can be used to control who has permission to read, write, or delete objects that the company stores in the S3 bucket. IAM user policies are access policies that can be attached to IAM users to grant or deny permissions to AWS resources and actions. IAM user policies can be used to control who has permission to read, write, or delete objects that the company stores in the S3 bucket. The other options are incorrect because they are not AWS features that will meet the requirements. Security groups and network ACLs are AWS features that act as firewalls to control inbound and outbound traffic to and from Amazon EC2 instances and subnets. Security groups andnetwork ACLs do not control who has permission to read, write, or delete objects that the company stores in the S3 bucket. S3 bucket versioning is an AWS feature that enables users to keep multiple versions of the same object in the same bucket. S3 bucket versioning can be used to recover from accidental overwrites or deletions of objects, but it does not control who has permission to read, write, or delete objects that the company stores in the S3 bucket. Reference: Using Bucket Policies and User Policies, Security Groups for Your VPC, Network ACLs, [Using Versioning]

According to theAWS Shared Responsibility Model, customers are responsible for managing their data, classifying their assets, and using AWS's identity and access management tools to apply the appropriate permissions. Implementingmulti-factor authentication (MFA) for IAM user accountsis a customer responsibility to enhance the security of their accounts and protect against unauthorized access.

A. Apply security patches for Amazon S3 infrastructure devices: Incorrect, as AWS is responsible for managing and patching the underlying infrastructure, including storage devices.

B. Provide physical security for AWS data centers: Incorrect, as AWS is responsible for the physical security of its data centers.

C. Install operating system updates on Lambda@Edge: Incorrect, as AWS manages the underlying infrastructure for Lambda@Edge, including operating system updates.

AWS Cloud References:

AWS Shared Responsibility Model

AWS Outposts is a service that offers fully managed and configurable compute and storage racks built with AWS-designed hardware that allow you to run your workloads on premises and seamlessly connect to AWS services in the cloud. AWS Outposts is ideal for workloads that require low latency, local data processing, or local data storage. With AWS Outposts, you can use the same AWS APIs, tools, and infrastructure across on premises and the cloud to deliver a truly consistent hybrid experience5. Availability Zones are isolated locations within each AWS Region that are engineered to be fault-tolerant and provide high availability. AWS Local Zones are extensions of AWS Regions that are placed closer to large population, industry, and IT centers where no AWS Region exists today. AWS Wavelength is a service that enables developers to build applications that deliver ultra-low latency to mobile devices and users by deploying AWS compute and storage at the edge of the 5G network. None of these services or features can help you host a critical application with minimum latency at a remote site that has a slow internet connection.

Outbound data transfers without acceleration and compute resources that are currently in use are the factors that affect costs in the AWS Cloud. Outbound data transfers without acceleration refer to the amount of data that is transferred from AWS to the internet, without using any service that can optimize the speed and cost of the data transfer, such as AWS Global Accelerator or Amazon CloudFront. Outbound data transfers are charged at different rates depending on the source and destination AWS Regions, and the volume of data transferred. Compute resources that are currently in use refer to the AWS services and resources that provide computing capacity, such as Amazon EC2 instances, AWS Lambda functions, or Amazon ECS tasks. Compute resources are charged based on the type, size, and configuration of the resources, and the duration and frequency of their usage.

 AWS Organizations is a service that enables you to consolidate multiple AWS accounts into an organization that you create and centrally manage. With AWS Organizations, you can apply service control policies (SCPs) across multiple AWS accounts to restrict what services and actions users and roles can access. You can also use AWS Organizations to enable features such as consolidated billing, AWS Config rules and conformance packs, and AWS CloudFormation StackSets across multiple accounts3. One of the benefits of using AWS Organizations is that you can share your Reserved Instances (RIs) with all of the accounts in your organization. This enables you to take advantage of the billing benefits of RIs without having to specify which account will use them4. AWS Systems Manager is a service that gives you visibility and control of your infrastructure on AWS. Cost Explorer is a tool that enables you to visualize, understand, and manage your AWS costs and usage over time. AWS Trusted Advisor is a service that provides real-time guidance to help you provision your resources following AWS best practices. None of these services or tools can help you manage the AWS accounts for all the departments so that the departments can share the Reserved Instances.

 Spot Instances are instances that use spare EC2 capacity that is available for up to 90% off the On-Demand price. Because Spot Instances can be interrupted by EC2 with two minutes of notification when EC2 needs the capacity back, you can use them for applications that have flexible start and end times, or that can withstand interruptions5. This option is most cost-effective for the use case described in the question. Reserved Instances are instances that you purchase for a one-year or three-year term, and pay a lower hourly rate compared to On-Demand Instances. This option is suitable for applications that have steady state or predictable usage. Dedicated Instances are instances that run on hardware that’s dedicated to a single customer within an Amazon VPC. This option is suitable for applications that have stringent regulatory or compliance requirements. On-Demand Instances are instances that you pay for by the second, with no long-term commitments or upfront payments. This option is suitable for applications that have unpredictable or intermittent workloads.

AWS Outposts is an AWS service that meets the requirement of running AWS services on premises with access to the company network and the company’s VPC. AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience. AWS Outposts is ideal for workloads that require low latency access to on-premises systems, local data processing, or local data storage2.

Amazon EC2 Auto Scaling is the AWS service or tool that can help the company launch the number of EC2 instances that will be needed to handle the workload. Amazon EC2 Auto Scaling automatically adjusts the capacity of the EC2 instances based on the demand and the predefined scaling policies. Amazon EC2 Auto Scaling also helps to improve availability and reduce costs by scaling in and out as needed. For more information, see What is Amazon EC2 Auto Scaling? and [Getting Started with Amazon EC2 Auto Scaling].

 Access to all AWS resources will be denied if a newly created IAM user has no IAM policy attached and logs in and attempts to view the AWS resources in the account. IAM policies are the way to grant permissions to IAM users, groups, and roles to access and manage AWS resources. By default, IAM users have no permissions, unless they are explicitly granted by an IAM policy. Therefore, a newly created IAM user without any IAM policy attached will not be able to view or perform anyactions on the AWS resources in the account. Access to the AWS billing services and AWS CLI will also be denied, unless the user has the necessary permissions.

 The tasks that are the responsibility of AWS according to the AWS shared responsibility model are securing the access of physical AWS facilities and performing infrastructure patching and maintenance. The AWS shared responsibility model defines the division of responsibilities between AWS and the customer for security and compliance. AWS is responsible for the security of the cloud, which includes the physical security of the hardware, software, networking, and facilities that run the AWS services. AWS is also responsible for the maintenance and patching of the infrastructure that supports the AWS services. The customer is responsible for the security in the cloud, which includes the configuration and management of the AWS resources and applications that they use. Configuring AWS Identity and Access Management (IAM), configuring security groups on Amazon EC2 instances, and patching applications that run on Amazon EC2 instances are tasks that are the responsibility of the customer, not AWS.

Reducing Costs with AWS Cloud:

Capacity Adjustment (B):

Elasticity: AWS allows you to scale your resources up or down based on demand, which means you only pay for what you use. This reduces the cost of over-provisioning resources.

Auto Scaling: Automatically adjusts compute capacity based on usage, ensuring cost efficiency.

Eliminating On-Premises Costs (E):

No Infrastructure Maintenance: By using AWS, businesses do not need to invest in physical infrastructure or handle maintenance, reducing both capital and operational expenditures.

Managed Services: AWS offers managed services that reduce the need for in-house technical staff to manage and maintain infrastructure.

AWS Cloud Economics Center

AWS Benefits

Amazon CloudFront with Amazon S3 is a solution that allows you to provide static files securely to users from around the world. Amazon CloudFront is a fast content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency, high transfer speeds, all within a developer-friendly environment. Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. You can use Amazon S3 to store and retrieve any amount of data from anywhere. You can also configure Amazon S3 to work with Amazon CloudFront to distribute your content to edge locations near your users for faster delivery and lower latency. Amazon Kinesis Data Streams is a service that enables you to build custom applications that process or analyze streaming data for specialized needs. This option is not relevant for providing static files securely. Amazon EC2 instances with an Application Load Balancer is a solution that allows you to distribute incoming traffic across multiple targets, such as EC2 instances, in multiple Availability Zones. This option is suitable for dynamic web applications, but not necessary for static files. Amazon Elastic File System (Amazon EFS) is a service that provides a simple, scalable, fully managed elastic NFS file system for use with AWS Cloud services and on-premises resources. This option is not relevant for providing static files securely.

Amazon RDS is the AWS service that will meet the requirements of using a managed service to simplify the setup, operation, and scaling of a MySQL database in the AWS Cloud. Amazon RDS is a relational database service that supports MySQL and other popular database engines. Amazon RDS handles routine database tasks such as provisioning, patching, backup, recovery, and scaling. Amazon RDS also offers high availability, security, and compatibility features3

AWS Control Tower uses AWS CloudFormation to create resources in your landing zone. AWS CloudFormation is a service that helps you model and set up your AWS resources using templates. AWS Control Tower supports creating AWS::ControlTower::EnabledControl resources in AWS CloudFormation. Therefore, the correct answer is A. You can learn more about AWS Control Tower and AWS CloudFormation

 The perspective of the AWS Cloud Adoption Framework (AWS CAF) that connects technology and business is governance. The governance perspective focuses on the alignment of the IT strategy and processes with the business strategy and goals, as well as the management of the IT budget, risk, and compliance. The governance perspective capabilities are portfolio management, business performance management, and IT governance. The governance perspective helps organizations ensure that their cloud adoption delivers the expected business value and outcomes, and that their cloud solutions are secure, reliable, and compliant. Operations, people, and security are other perspectives of the AWS CAF, but they do not directly connect technology and business. The operations perspective focuses on the management and monitoring of the cloud resources and applications, as well as the automation and optimization of the operational processes. The people perspective focuses on the development and empowerment of the human resources, as well as the transformation of the organizational culture and structure. The security perspective focuses on the protection of the information assets and systems in the cloud, as well as the implementation of the security policies and controls.

Amazon RDS (Relational Database Service) supports SQL Server and other relational databases while handling administrative tasks such as backups, patching, monitoring, and scaling. This allows the company to migrate its SQL Server database without managing the infrastructure manually. Amazon EC2for SQL Server would require more administrative overhead, as the company would be responsible for the maintenance. Amazon DynamoDB and Aurora do not support SQL Server directly.

 AWS Pricing Calculator can be used to estimate costs before deployment. AWS Pricing Calculator is a tool that helps the user to compare the cost of AWS services for different use cases and configurations. The user can create estimates for various AWS services, such as Amazon EC2, Amazon S3, Amazon RDS, and more. The user can also adjust the parameters, such as region, instance type, storage size, and duration, to see how they affect the cost. AWS Pricing Calculator provides a detailed breakdown of the estimated cost, as well as a summary of the key drivers of the cost.

Amazon Kendra is a service that provides a highly accurate and easy-to-use enterprise search service that is powered by machine learning. Kendra delivers powerful natural language search capabilities to your websites and applications so your end users can more easily find the information they need within the vast amount of content spread across your company. Amazon SageMaker is a service that provides a fully managed platform for data scientists and developers to quickly and easily build, train, and deploy machine learning models at any scale. Amazon Augmented AI (Amazon A2I) is a service that makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers. Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled products. None of these services provide an enterprise search service that is powered by machine learning.

Compute Savings Plans are a flexible and cost-effective way to optimize long-term compute costs of AWS Lambda functions and Amazon EC2 instances. With Compute Savings Plans, customers can commit to a consistent amount of compute usage (measured in $/hour) for a 1-year or 3-year termand receive a discount of up to 66% compared to On-Demand prices3. Dedicated Hosts are physical servers with EC2 instance capacity fully dedicated to the customer’s use. They are suitable for customers who have specific server-bound software licenses or compliance requirements4. Reserved Instances are a pricing model that provides a significant discount (up to 75%) compared to On-Demand pricing and a capacity reservation for EC2 instances. They are available in 1-year or 3-year terms and different payment options5. Spot Instances are spare EC2 instances that are available at up to 90% discount compared to On-Demand prices. They are suitable for customers who have flexible start and end times, can withstand interruptions, and can handle excess capacity.

 Amazon EventBridge is the service that meets the requirements of building a serverless architecture that connects application data from multiple data sources without requiring additional code. Amazon EventBridge is a serverless event bus service that allows you to easily connect your applications with data from AWS services, SaaS applications, and your own applications. You can use Amazon EventBridge to create rules that match events and route them to targets such as AWS Lambda functions, Amazon SNS topics, Amazon SQS queues, or other AWS services. Amazon EventBridge handles the event ingestion, delivery, security, authorization, and error handling for you34

 AWS Organizations is a service that enables you to consolidate multiple AWS accounts into an organization that you create and centrally manage. With AWS Organizations, you can create a single payment method for all the AWS accounts in your organization through consolidated billing. Consolidated billing enables you to see a combined view of AWS charges incurred by all accounts in your organization, as well as get a detailed cost report for each individual AWS account associated with your organization. AWS Artifact is a service that provides on-demand access to AWS’ security and compliance reports and select online agreements. AWS Budgets is a service that enables you to plan your service usage, service costs, and instance reservations. AWS Trusted Advisor is a servicethat provides real-time guidance to help you provision your resources following AWS best practices. None of these services or tools offer consolidated billing.

Amazon Machine Image (AMI) is the option that the company can use during the launch process to configure the root volume of the EC2 instance. An AMI is a template that contains the software configuration, such as the operating system, applications, and settings, required to launch an EC2 instance. An AMI also specifies the volume size and type of the root device for the instance. Thecompany can choose an AMI provided by AWS, the AWS Marketplace, or the AWS community, or create a custom AMI. For more information, see [Amazon Machine Images (AMI)] and [Launching an Instance Using the Launch Instance Wizard].

 Increased business agility is the benefit of the AWS Cloud that this scenario demonstrates. Business agility refers to the ability of a company to adapt to changing customer needs, market conditions, and competitive pressures. Moving to the AWS Cloud enables business agility by providing faster access to resources, lower upfront costs, and greater scalability and flexibility. By using the AWS Cloud, the company can launch new marketing campaigns in 3 days instead of 3 weeks, which shows that it can respond to customer feedback more quickly and efficiently. For more information, see Benefits of Cloud Computing and [Business Agility].

Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It supports both key-value and document data models, and allows you to create tables that can store and retrieve any amount of data, and serve any level of request traffic. You can also use DynamoDB Streams to capture data modification events in DynamoDB tables.

A benefit of decoupling an AWS Cloud architecture is the ability to upgrade components independently. Decoupling is a way of designing systems to reduce interdependencies and minimize the impact of changes. Decoupling allows components to interact with each other through well-defined interfaces, rather than direct references. This reduces the risk of failures and errors propagating across the system, and enables greater scalability, availability, and maintainability. By decoupling an AWS Cloud architecture, the user can upgrade or modify one component without affecting the other components5.

 AWS Regions are geographic areas around the world where AWS has clusters of data centers. Each AWS Region consists of multiple, isolated, and physically separate AZ’s within a geographic area. By hosting the customer’s data in a specific AWS Region, the company can meet the requirement of hosting the data in the customer’s country. AWS Shield is a service that provides always-on detection and automatic inline mitigations that minimize application downtime and latency, so there is no need to engage AWS Support to benefit from DDoS protection. Amazon S3 Object Lock is afeature that allows you to store objects using a write-once-read-many (WORM) model. You can use it to prevent an object from being deleted or overwritten for a fixed amount of time or indefinitely. Placement groups are logical grouping of instances within a single Availability Zone. Placement groups enable applications to participate in a low-latency, 10 Gbps network. None of these services or infrastructure components can help the company host the customer’s data in a different country.

 The correct answers are B and D because making data-driven decisions to determine cloud architectural design and testing systems at production scale are AWS Cloud design principles. Making data-driven decisions to determine cloud architectural design means that users should collect and analyze data from their AWS resources and applications to optimize their performance, availability, security, and cost. Testing systems at production scale means that users should simulate real-world scenarios and load conditions to validate the functionality, reliability, and scalability of their systems. The other options are incorrect because they are not AWS Cloud design principles. Paying for compute resources in advance means that users have to invest heavily in data centers and servers before they know how they will use them. This is not a cloud design principle, but rather a traditional IT model. Emphasizing manual processes to allow for changes means that users have to rely on human intervention and coordination to perform operational tasks and updates. This is not a cloud design principle, but rather a source of inefficiency and error. Refining operational procedures infrequently means that users have to stick to the same methods andpractices without adapting to the changing needs and feedback. This is not a cloud design principle, but rather a hindrance to innovation and improvement. Reference: AWS Well-Architected Framework

 Amazon Rekognition is a service that provides deep learning-based image and video analysis. One of the benefits of Amazon Rekognition is the ability to detect objects that appear in pictures, such as faces, landmarks, animals, text, and scenes. This can enable applications to perform tasks such as face recognition, face verification, face comparison, face search, celebrity recognition, emotion detection, age range estimation, gender identification, facial analysis, facial expression recognition, and more. Amazon Rekognition OverviewAWS Certified Cloud Practitioner - aws.amazon.com

The correct answers are D and E because AWS offers high availability and AWS provides economies of scale are benefits that a company receives when it moves an on-premises production workload to AWS. High availability means that AWS has a global infrastructure that allows customers to deploy their applications and data across multiple regions and availability zones. This increases the fault tolerance and resilience of their applications and reduces the impact of failures. Economies of scale means that AWS can achieve lower variable costs than customers can get on their own. This allows customers to pay only for the resources they use and scale up or down as needed. The other options are incorrect because they are not benefits that a company receives when it moves an on-premises production workload to AWS. AWS trains the company’s staff on the use of all the AWS services is not a benefit that a company receives when it moves an on-premises production workload to AWS. AWS does provide various learning resources and training courses for customers, but it does nottrain the company’s staff on the use of all the AWS services. AWS manages all security in the cloud is not a benefit that a company receives when it moves an on-premises production workload to AWS. AWS is responsible for the security of the cloud, but the customer is responsible for the security in the cloud. AWS offers free support from technical account managers (TAMs) is not a benefit that a company receives when it moves an on-premises production workload to AWS. AWS does offer support from TAMs, but only for customers who have the AWS Enterprise Support plan, which is not free. Reference: What is Cloud Computing?, [AWS Shared Responsibility Model], [AWS Support Plans]

An Availability Zone is one or more discrete data centers with redundant power, networking, and connectivity. Availability Zones are part of the AWS global infrastructure, which consists of AWS Regions, Availability Zones, and edge locations. Availability Zones are physically separate locations within an AWS Region that are engineered to be isolated from failures and connected by low-latency, high-throughput, and highly redundant networking. Each Availability Zone contains one or more data centers that house the servers and storage devices that run AWS services. Availability Zones enable users to design and operate fault-tolerant and high-availability applications on AWS. AWS Global InfrastructureAWS Certified Cloud Practitioner - aws.amazon.com

 Patch management and configuration management are controls that are the responsibility of both AWS and AWS customers, according to the AWS shared responsibility model. Patch management is the process of applying updates to software and applications to fix vulnerabilities, bugs, or performance issues. Configuration management is the process of defining and maintaining the settings and parameters of systems and applications to ensure their consistency and reliability. AWS is responsible for patching and configuring the software and services that it manages, such as the AWS global infrastructure, the hypervisor, and the AWS managed services. The customer is responsible for patching and configuring the software and services that they manage, such as the guest operating system, the applications, and the AWS customer-managed services. Physical and environmental controls are the responsibility of AWS, according to the AWS shared responsibility model. Physical and environmental controls are the measures that protect the physical security and availability of the AWS global infrastructure, such as power, cooling, fire suppression, and access control. AWS is responsible for maintaining these controls and ensuring the resilience and reliability of the AWS Cloud. Account structures are the responsibility of the customer, according to the AWS shared responsibility model. Account structures are the ways that customers organize and manage their AWS accounts and resources, such as using AWS Organizations, IAM users and roles, resource tagging, and billing preferences. The customer is responsible for creating and configuring these structures and ensuring the security and governance of their AWS environment. Choice of the AWS Region where data is stored is the responsibility of the customer, according to the AWS sharedresponsibility model. AWS Regions are geographic areas that consist of multiple isolated Availability Zones. Customers can choose which AWS Region to store their data and run their applications, depending on their latency, compliance, and cost requirements. The customer is responsible for selecting the appropriate AWS Region and ensuring the data sovereignty and regulatory compliance of their data.

 AWS Shield Standard is a service that provides protection against Distributed Denial of Service (DDoS) attacks for all AWS customers at no additional charge. It automatically detects and mitigates the most common and frequently occurring network and transport layer DDoS attacks that target AWS resources, such as Amazon EC2 instances, Elastic Load Balancers, Amazon CloudFront distributions, and Amazon Route 53 hosted zones. AWS Firewall Manager is a service that allows users to centrally configure and manage firewall rules across their AWS accounts and resources, such as AWS WAF web ACLs, AWS Shield Advanced protections, and Amazon VPC security groups. AWS WAF is a web application firewall that helps protect web applications from common web exploits, such as SQL injection, cross-site scripting, and bot attacks. Amazon Inspector is an automated security assessment service that helps improve the security and compliance of applications deployed on AWS. It analyzes the behavior of the applications and checks for vulnerabilities, exposures, and deviations from best practices.

Security of the cloud refers to the security of the cloud infrastructure that runs all the AWS services. This includes the hardware, software, networking, and facilities that AWS operates and manages. AWS is responsible for protecting the security of the cloud as part of the AWS shared responsibility model. Availability of AWS services such as Amazon EC2 refers to the ability of the services to be up and running and to meet the expected performance. Availability is part of the reliability pillar of the AWS Well-Architected Framework and is a shared responsibility between AWS and the customer . Implementation of password policies for IAM users refers to the security of the customer data and applications in the cloud. This includes the configuration and management of IAM user permissions, encryption keys, security group rules, network ACLs, and other aspects of access management. The customer is responsible for protecting the security in the cloud as part of the AWS shared responsibility model. Security of customer environments by using AWS Network Firewall partners refers to the security of the customer data and applications in the cloud. AWS Network Firewall is a managed service that provides network protection for Amazon VPCs. It allows customers to use AWS Marketplace partners to implement firewall rules and policies. The customer is responsible for protecting the security in the cloud as part of the AWS shared responsibility model .

 AWS Enterprise Support is the AWS Support plan that includes an AWS concierge whom the company can ask for assistance. According to the AWS Support Plans page, AWS Enterprise Support provides "a dedicated Technical Account Manager (TAM) who provides advocacy and guidance to help plan and build solutions using best practices, coordinate access to subject matter experts, and proactively keep your AWS environment operationally healthy."2 AWS Business Support, AWS Developer Support, and AWS Basic Support do not include a TAM or a concierge service.

 The AWS services or features that can control VPC traffic are security groups and network ACLs. Security groups are stateful firewalls that control the inbound and outbound traffic at the instance level. You can assign one or more security groups to each instance in a VPC, and specify the rules that allow or deny traffic based on the protocol, port, and source or destination. Network ACLs are stateless firewalls that control the inbound and outbound traffic at the subnet level. You can associate one network ACL with each subnet in a VPC, and specify the rules that allow or deny traffic based on the protocol, port, and source or destination. AWS Direct Connect, Amazon GuardDuty, and Amazon Connect are not services or features that can control VPC traffic. AWS Direct Connect is a service that establishes a dedicated network connection between your premises and AWS. Amazon GuardDuty is a service that monitors your AWS account and workloads for malicious or unauthorized activity. Amazon Connect is a service that provides a cloud-based contact center solution.

The advantages of moving to the AWS Cloud are the ability to use the pay-as-you-go model and no longer having to guess what capacity will be required. The pay-as-you-go model allows the user to pay only for the resources they use, without any upfront or long-term commitments. This reduces the cost and risk of over-provisioning or under-provisioning resources. No longer having to guess what capacity will be required means that the user can scale their resources up or down according to the demand, without wasting money on idle resources or losing customers due to insufficient capacity4.

Amazon Athena is the AWS service that the developer should use to write a simple query that can read all of the .csv files stored in an Amazon S3 bucket and generate a summary report. Amazon Athena is an interactive query service that allows users to analyze data in Amazon S3 using standard SQL. Amazon Athena does not require any server setup or management, and users only pay for the queries they run. Amazon Athena can handle various data formats, including .csv, and can integrate with other AWS services such as Amazon QuickSight for data visualization

 The correct answer is C because AWS Trusted Advisor is an AWS service or tool that provides users with the ability to monitor AWS service quotas. AWS Trusted Advisor is an online tool that provides users with real-time guidance to help them provision their resources following AWS best practices. One of the categories of checks that AWS Trusted Advisor performs is service limits, which monitors the usage of each AWS service and alerts users when they are close to reaching the default limit. The other options are incorrect because they are not AWS services or tools that provide users with the ability to monitor AWS service quotas. AWS CloudTrail is a service that enables users to track user activity and API usage across their AWS account. AWS Cost and Usage Reports is a tool that enables users to access comprehensive information about their AWS costs and usage. AWS Budgets is a tool that enables users to plan their service usage, costs, and reservations. Reference: [AWS Trusted Advisor FAQs]

 Spot Instances are spare Amazon EC2 instances that are available at up to 90% discount compared to On-Demand prices. They are suitable for workloads that can tolerate interruptions, such as batch processing, data analysis, and testing. Spot Instances are allocated based on the current supply and demand, and can be reclaimed by AWS with a two-minute notice when the demand exceeds the supply5. Convertible Reserved Instances are a type of Reserved Instances that provide a significant discount (up to 54%) compared to On-Demand prices and a capacity reservation for Amazon EC2 instances. They are available in 1-year or 3-year terms and allow users to change the instance family, size, operating system, or tenancy during the term. Standard Reserved Instances are another type of Reserved Instances that provide a larger discount (up to 75%) compared to On-Demand prices and a capacity reservation for Amazon EC2 instances. They are available in 1-year or 3-year terms and do not allow users to change the instance attributes during the term. Dedicated Hosts are physical servers with Amazon EC2 instance capacity fully dedicated to the user’s use. They are suitable for users who have specific server-bound software licenses or compliance requirements.

Application Load Balancer (ALB) integrates with AWS WAF to deploy and manage WAF rules for incoming traffic. ALB can route HTTP and HTTPS traffic and apply WAF rules to protect applications from common web exploits. Network Load Balancer does not support AWS WAF, and Trusted Advisor does not deploy WAF rules.

AWS Migration Hub assists users in planning and tracking the progress of their server and application migrations. It centralizes migration tracking across various AWS services, providing visibility into application inventory and migration status. While AWS Application Migration Service also assists with migrations, Migration Hub is specifically designed for tracking migration data comprehensively.

The solution that meets the requirement of the company that runs a database on Amazon Aurora in the us-east-1 Region and has a disaster recovery requirement that the database be available inanother Region with minimal disruption to the database operations is to deploy Aurora cross-Region read replicas. Aurora cross-Region read replicas are secondary Aurora clusters that are created in a different AWS Region from the primary Aurora cluster, and are kept in sync with the primary cluster using physical replication. The company can use Aurora cross-Region read replicas to improve the availability and durability of the database, as well as to reduce the recovery time objective (RTO) and recovery point objective (RPO) in case of a regional disaster. Performing an Aurora Multi-AZ deployment, creating Amazon EBS volume snapshots for Aurora and copying them to another Region, and deploying Aurora Replicas are not the best solutions for this requirement. An Aurora Multi-AZ deployment is a configuration that creates one or more Aurora Replicas within the same AWS Region as the primary Aurora cluster, and provides automatic failover in case of an Availability Zone outage. However, this does not provide cross-Region disaster recovery. Creating Amazon EBS volume snapshots for Aurora and copying them to another Region is a manual process that requires stopping the database, creating the snapshots, copying them to the target Region, and restoring them to a new Aurora cluster. This process can cause significant downtime and data loss. Deploying Aurora Replicas is a configuration that creates one or more secondary Aurora clusters within the same AWS Region as the primary Aurora cluster, and provides read scaling and high availability. However, this does not provide cross-Region disaster recovery.

In the AWS Cloud Adoption Framework (AWS CAF), theGovernanceperspective focuses on aligning IT strategy and goals with business processes, which includes managing data assets, setting up an inventory of data products, and ensuring that data cataloging and metadata management are in place. This perspective is crucial for organizing data products and services, which aligns with building a comprehensive data catalog. Other perspectives like Operations, Business, and Platform do not specifically address the management of a data catalog.

AWS Trusted Advisor provides checks and recommendations across various categories, including cost optimization, security, and performance. Access to all Trusted Advisor checks is available with AWS Business Support, ensuring the company can follow AWS best practices comprehensively. The Developer Support plan offers limited Trusted Advisor checks, and AWS Health Dashboard provides insights into service health but not specific best practice recommendations.

Amazon RDS supports six database engines: Amazon Aurora, MySQL, MariaDB, PostgreSQL, Oracle, and SQL Server. Apache Cassandra, MongoDB, and Neo4j are not compatible with Amazon RDS. Therefore, the correct answer is D. You can learn more about Amazon RDS and its supported database engines

AWS CloudFormation allows developers to create, manage, and deploy AWS resources using templates, ensuring a standardized and repeatable infrastructure setup. It’s ideal for setting up development, test, and production environments consistently. AWS Cloud Map, CloudFront, and CloudTrail do not provide templated infrastructure management capabilities.

AWS Fargate and Amazon S3 are both serverless services. Fargate allows users to run containers without managing the underlying infrastructure, while S3 provides object storage without the need for provisioning or managing servers. Amazon EC2, Amazon Managed Streaming for Apache Kafka, and Amazon EMR involve server management to varying degrees and are not serverless by nature.

AWS Lambda is a serverless compute service that is ideal for applications with short-running processes and low-frequency invocation, as it only charges for the compute time consumed. Since the application is invoked only a few times a day and runs for less than 5 minutes, Lambda is the most cost-effective option. ECS, EKS, and EC2 are better suited for more persistent workloads and would be more costly in this use case.

Under the AWS shared responsibility model, AWS is responsible for managing the underlying infrastructure, including operating system-level updates on managed services like Amazon RDS. Customers are responsible for managing the database instance and configurations, but AWS handles OS updates for the infrastructure supporting RDS.

AWS Snowball Edge is designed for large-scale data transfer tasks, allowing companies to transport significant amounts of data (up to petabytes) from their data centers to AWS without relying on the internet. With the ability to transfer 100 TB of data securely and efficiently, Snowball Edge is the ideal choice for this use case. AWS Snowcone is for smaller transfers, and AWS Data Exchange and DataSync are not designed for physical data transport.

One of the main advantages of cloud computing is the ability to trade fixed capital expenditures for variable operating expenses. By moving to the AWS Cloud, the company pays only for the resources it uses on a per-usage basis, reducing the need for large upfront investments in data center infrastructure. This benefit allows for more flexible and cost-effective spending based on actual usage. Other options, such as increased speed and agility or global reach, are also cloud benefits but do not specifically address the shift from fixed to variable expenses.

Amazon RDS provides a managed database service that supports MariaDB with minimal operational overhead. It handles routine database tasks such as backups, patching, and scaling, reducing the burden on users. Amazon Neptune and DynamoDB are not compatible with MariaDB, and Amazon S3 is not a relational database service.

AWS Outposts extend AWS infrastructure and services to on-premises locations, providing low-latency access to AWS resources and ensuring data residency. This service is suitable for hybrid environments that require the same AWS services and infrastructure to be available locally. Wavelength, Transit Gateway, and Ground Station do not specifically address low-latency access to on-premises resources or data residency.

AWS Systems Manager offers the capability to automate patching for Amazon EC2 instances, including Windows instances, through Patch Manager. It can automate patching tasks, schedule updates, and apply patches based on specified baselines. AWS Organizations and Control Tower focus on account management and governance, while Elastic Load Balancing (ELB) is unrelated to patch management.

The reliability pillar of the AWS Well-Architected Framework includes the principle of testing recovery procedures to ensure systems can effectively recover from failures. Regular testing of recovery processes helps verify that systems are resilient and can handle potential disruptions. The other options align with different pillars like cost optimization and operational excellence.

Using multiple Availability Zones within the same AWS Region meets the requirements for having instances in different locations with independent power and networking. Availability Zones are distinct physical locations within a region, each with separate power sources and networking. Edge locations are used for content delivery, and Amazon Connect and AWS Artifact locations are not relevant to EC2 deployment and infrastructure.

Amazon Rekognition is a machine learning service that can analyze and recognize objects, people, text, scenes, and activities in images and videos. It is specifically designed for organizing, categorizing, and searching large volumes of images based on various attributes. Amazon Transcribe is for speech-to-text, Amazon Aurora is a relational database service, and Amazon QuickSight is a business intelligence tool for data visualization.

Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It supports both document and key-value data models and is designed to handle large amounts of data across multiple servers. Other options, like Amazon RDS and Aurora, are managed relational database services, and Amazon Redshift is a data warehousing service.

The AWS Management Console provides a web-based graphical user interface (GUI) that allows users to manage AWS services. It is user-friendly and accessible, enabling users to control and configure resources without needing to interact with AWS through code or command-line interfaces. AWS CLI and SDKs are command-line and programming tools, respectively, and do not offer a graphical interface.

AWS IAM Identity Center (formerly AWS Single Sign-On) provides centralized management of user access to multiple AWS accounts within an organization in AWS Organizations. It allows users to log in once and gain access to all assigned accounts without managing separate logins for each account. Amazon Cognito is generally used for application-level user management and authentication, not for managing access across AWS accounts.

Amazon Rekognition provides machine learning capabilities to analyze images and videos, enabling the detection of objects, people, text, and scenes. It is designed specifically for image and video analysis, making it suitable for various use cases like facial recognition and content moderation. Other services like Amazon Connect, Lightsail, and Personalize do not offer image or video analysis capabilities.

AWS Shield is a managed Distributed Denial of Service (DDoS) protection service that safeguards AWS applications against network and transport layer attacks. AWS Shield Standard is automatically included with all AWS services and offers protection against common DDoS attacks. For more advanced protection, AWS Shield Advanced provides additional DDoS mitigation measures. Although AWS WAF, Firewall Manager, and GuardDuty contribute to security, they do not specialize in DDoS mitigation at the network layer like AWS Shield does.

Savings Plans offer cost savings for predictable, steady workloads over a one or three-year term, with flexibility in instance family and size, making them suitable for critical workloads on EC2 instances that will run for a long term like three years. Spot Instances are more cost-effective but not suitable forcritical, predictable workloads due to potential interruptions. Dedicated Hosts and On-Demand Instances would be more costly.

Amazon Athena Overview:

Amazon Athena is a serverless query service that allows users to analyze data in S3 using standard SQL.

It is commonly used to query AWS Cost and Usage Reports stored in S3.

How It Works for Cost Reports:

Cost and Usage Reports are delivered in a structured format to an S3 bucket.

Athena can query these reports without requiring additional ETL processes.

Why Other Options Are Incorrect:

A. Amazon OpenSearch Service:Designed for search and log analytics, not querying structured data.

C. Amazon Aurora:A relational database service, unsuitable for querying S3 data directly.

D. AWS Glue:Used for ETL tasks but not directly for querying.

AWS Config enables users to assess, audit, and evaluate the configurations of AWS resources. It provides information that can be used by external auditors to ensure compliance with various regulatory requirements by tracking changes and maintaining configuration history. Amazon Cognito, FSx, and Inspector do not provide detailed configuration tracking for audit purposes.

Amazon Neptune is a managed graph database service that is well-suited for complex queries involving relationships, such as detecting patterns indicative of fraud in credit card transactions. It supports graph query languages like Gremlin and SPARQL, making it ideal for use cases requiring intricate relationship analysis. DocumentDB, Timestream, and DynamoDB are not designed for graph-based queries.

AWS Organizations enables consolidated billing across multiple AWS accounts and allows for centralized management of security and compliance policies. It provides account grouping and centralized payment management, making it the optimal choice for a company requiring consolidated billing and centralized governance. AWS Cost and Usage Report only provides billing information, and AWS Config and Security Hub offer monitoring and security insights but do not handle billing consolidation.

Spot Instances offer the lowest cost for Amazon EC2 and are suitable for non-production workloads like development and testing where occasional unavailability is acceptable. Spot Instances take advantage of unused EC2 capacity at a reduced cost, making them ideal for environments that can tolerate interruptions. Reserved or On-Demand Instances would be more expensive for this scenario, and Dedicated Hosts are not cost-effective for non-production environments.

AWS Snowball Edge offers configurations that are either storage-optimized or compute-optimized, providing flexibility for different data migration and processing needs. It supports local processing and data transfer to AWS, catering to scenarios that require heavy storage or compute resources. AWS Snowcone and DataSync do not offer these optimizations, and Storage Gateway focuses on hybrid cloud storage.

Elastic Load Balancing (ELB) distributes incoming traffic across multiple targets, such as EC2 instances, containers, and IP addresses, ensuring better application availability and fault tolerance. While ELB scales to meet traffic demands, it does not inherently scale compute resources themselves, span multiple regions, or balance traffic between internet gateways.

The Amazon EC2 Reserved Instance Marketplace allows customers to sell unused Standard Reserved Instances to other AWS users. This enables companies to recoup some of the costs if they no longer need certain RIs. Standard RIs cannot be converted to Savings Plans, and AWS Support does not facilitate the resale of RIs directly.

S3 Intelligent-Tiering is cost-effective for data with unpredictable access patterns. It automatically moves data between two access tiers (frequent and infrequent) based on access patterns, which is suitable for data accessed daily or infrequently. S3 Glacier Deep Archive is for archival data accessed infrequently, and S3 One Zone-IA is for infrequent access data stored in a single availability zone, which may not be ideal for data accessed daily.

AWS Budgets allows organizations to set custom cost and usage budgets and receive notifications when they exceed predefined thresholds. This feature helps the finance department monitor spending and manage budget forecasts effectively. AWS Cost and Usage Reports and Cost Explorer provide detailed billing data but do not include budget notifications. Consolidated billing in AWS Organizations is useful for aggregating billing across accounts but does not provide budget alerts.

IAM Users and Billing Permissions:

IAM users with appropriate permissions can access and view the AWS Billing console.

The root user is required only for certain account-level tasks, such as changing support plans or closing accounts.

Why Other Options Are Incorrect:

A. Change to a different AWS Support plan:Requires root user credentials.

B. Close an AWS account:Requires root user credentials.

D. Activate access to the AWS Billing console:Requires root user credentials.

AWS Direct Connect provides a dedicated, low-latency, and consistent network connection between on-premises data centers and AWS. This private connection minimizes latency and improves network stability compared to a public internet connection or VPN. AWS Direct Connect is ideal for applications requiring real-time data transfer with minimal latency.

AWS WAF Overview:

AWS Web Application Firewall (WAF) allows users to create rules to block or allow traffic based on IP addresses, request patterns, and other conditions.

It is ideal for blocking traffic from a specific IP address.

Why AWS WAF Meets the Requirement:

The company can create a WAF rule to block traffic from the malicious IP address.

WAF integrates with services like Amazon CloudFront, Application Load Balancer, and API Gateway.

Why Other Options Are Incorrect:

A. AWS Shield:Protects against DDoS attacks but does not allow custom IP blocking.

B. AWS Config:Monitors resource configurations but does not block IPs.

C. Amazon GuardDuty:Detects threats but does not block traffic directly.

The Operations perspective helps you monitor and manage your cloud workloads to ensure that they are delivered at a level that meets your business needs. Common stakeholders include chief operations officer (COO), cloud director, cloud operations manager, and cloud operations engineers1. The Operations perspective covers capabilities such as workload health monitoring, incident management, change management, release management, configuration management, and disaster recovery2.

The Business perspective helps ensure that your cloud investments accelerate your digital transformation ambitions and business outcomes. Common stakeholders include chief executive officer (CEO), chief financial officer (CFO), chief information officer (CIO), and chief technology officer (CTO). The Business perspective covers capabilities such as business case development, value realization, portfolio management, and stakeholder management3.

The Governance perspective helps you orchestrate your cloud initiatives while maximizing organizational benefits and minimizing transformation-related risks. Common stakeholders include chief transformation officer, CIO, CTO, CFO, chief data officer (CDO), and chief risk officer (CRO). The Governance perspective covers capabilities such as governance framework, budget and cost management, compliance management, and data governance4.

The Platform perspective helps you build an enterprise-grade, scalable, hybrid cloud platform, modernize existing workloads, and implement new cloud-native solutions. Common stakeholders include CTO, technology leaders, architects, and engineers. The Platform perspective covers capabilities such as platform design and implementation, workload migration and modernization, cloud-native development, and DevOps5.

According to the AWS shared responsibility model, AWS is responsible for security of the cloud, while customers are responsible for security in the cloud. This means that AWS is responsible for protecting the infrastructure that runs AWS services, such as hardware, software, networking, and facilities. Customers are responsible for managing their data, classifying their assets, and using IAM tools to apply the appropriate permissions. For abstracted services, such as Amazon DynamoDB, AWS operates the infrastructure layer, the operating system, and platforms, and provides customers with public endpoints to store and retrieve data. Customers are responsible for classifying their data, managing their encryption options, and configuring their access permissions. References: Shared Responsibility Model, Security and compliance in Amazon DynamoDB, [AWS Cloud Practitioner Essentials: Module 2 - Security in the Cloud]

Under the AWS shared responsibility model, AWS is responsible for ensuring the security of the internal network in the AWS data centers, as well as the physical security of the hardware and facilities that run AWS services. AWS customers are responsible for configuring the security group rules that determine which ports are open on an EC2 Linux instance, patching the guest operating system with the latest security patches on EC2, and turning on server-side encryption for S3 buckets. Source: AWS Shared Responsibility Model

AWS customer carbon footprint tool is a tool that helps customers measure and manage their carbon emissions from their AWS usage. It provides data on the carbon intensity, energy consumption, and estimated emissions of AWS services across regions and time periods. It alsoenables customers to review and forecast their emissions, and compare them with industry benchmarks. AWS Health Dashboard is a service that provides personalized information about the health and performance of AWS services and resources. AWS Support Center is a service that provides access to AWS support resources, such as cases, forums, and documentation. Amazon QuickSight is a service that provides business intelligence and analytics for AWS data sources.

S3 Access Points are a feature of Amazon S3 that allows you to easily manage access to specific data that is hosted in S3 buckets. S3 Access Points are unique hostnames that customers can use to access data in S3 buckets. You can create multiple access points for a single bucket, each with its own name and permissions. You can use S3 Access Points to provide different levels of access to different groups of customers, such as read-only or write-only access. You can also use S3 Access Points to enforce encryption or logging requirements for specific data. S3 Access Points help you keep control over the full datasets that you share with your customers, while simplifying the access management and improving the performance and scalability of your applications.

Availability Zones are components of AWS infrastructure that can help the company ensure that the application is highly resilient. Availability Zones are multiple, isolated locations within each AWS Region. Each Availability Zone has independent power, cooling, and physical security, and is connected to the other Availability Zones in the same Region via low-latency, high-throughput, and highly redundant networking. Availability Zones allow you to operate production applications and databases that are more highly available, fault tolerant, and scalable than would be possible from a single data center. 

Enforcing multi-factor authentication (MFA) for privileged users enhances account security by requiring a second form of authentication. It reduces the risk of unauthorized access, even if credentials are compromised. Removing the root account is not possible, and creating access keys for the root account or privileged users can increase security risks rather than reduce them.

Amazon Elastic File System (Amazon EFS) is a service that provides a simple, scalable, fully managed elastic NFS file system for use with AWS Cloud services and on-premises resources. It is built to scale on demand to petabytes without disrupting applications, growing and shrinking automatically as you add and remove files, eliminating the need to provision and manage capacity to accommodate growth. You can use Amazon EFS to create a shared file system that can be available to both your on-premises data center and your AWS Cloud environment. Amazon Elastic Block Store (Amazon EBS) is a service that provides persistent block storage volumes for use with Amazon EC2 instances in the AWS Cloud. Each Amazon EBS volume is automatically replicated within its Availability Zone to protect you from component failure, offering high availability and durability. However, Amazon EBS volumes are not shared file systems, and they cannot be available to both your on-premises data center and your AWS Cloud environment. Amazon S3 is a service that provides object storage through a web services interface. You can use Amazon S3 to store and protect any amount of data for a range of use cases, such as data lakes, websites, mobile applications, backup and restore, archive, enterprise applications, IoT devices, and big dataanalytics. However, Amazon S3 is not a shared file system, and it cannot be available to both your on-premises data center and your AWS Cloud environment without additional configuration. Amazon ElastiCache is a service that enables you to seamlessly set up, run, and scale popular open-source compatible in-memory data stores in the cloud. You can use Amazon ElastiCache to improve the performance of your applications by allowing you to retrieve information from fast, managed, in-memory data stores, instead of relying entirely on slower disk-based databases. However, Amazon ElastiCache is not a shared file system, and it cannot be available to both your on-premises data center and your AWS Cloud environment.

Amazon Lightsail is an easy-to-use cloud platform that offers everything you need to build an application or website, plus a cost-effective, monthly plan1. It is designed for developers who have little or no prior cloud experience and want to launch and manage applications on AWS with minimal complexity2. Amazon SageMaker is a service for building, training, and deploying machine learning models3. AWS Lambda is a service that lets you run code without provisioning or managing servers4. Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service.

The cost of application software licenses is the company’s direct responsibility when it migrates its IT infrastructure from an on-premises data center to the AWS Cloud. Application software licenses are the agreements that grant users the right to use specific software products, such as operating systems, databases, or applications. Depending on the type and terms of the license, users may need to pay a fee to the software vendor or provider to use the software legally and access its features and updates. When users migrate their IT infrastructure to the AWS Cloud, they can choose to buy new licenses from AWS, bring their own licenses (BYOL), or use a combination of both. However, regardless of the option they choose, they are still responsible for complying with the license terms and paying the license fees to the software vendor or provider. AWS does not charge users for the application software licenses they bring or buy, but only for the AWS resources they use to run their applications. Therefore, thecost of application software licenses is the only cost among the options that is the company’s direct responsibility. The other costs are either included in the AWS service fees or covered by AWS.

 AWS License Manager Pricing, Software licensing: The blind spot in public cloud costs, Cost Optimization tips for SQL Server Licenses on AWS, Microsoft Licensing on AWS

Edge locations are sites that Amazon CloudFront uses to cache copies of your content for faster delivery to users at any location. You can use Amazon CloudFront to deliver your entire website, including dynamic, static, streaming, and interactive content using a global network of edge locations. Requests for your content are automatically routed to the nearest edge location, so content is delivered with the best possible performance3. Edge locations can also host AWS Lambda functions to perform compute operations for your web application as close to end users as possible4.

Amazon EC2 Spot Instances are instances that use spare EC2 capacity that is available at up to a 90% discount compared to On-Demand prices. You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, high-performance computing (HPC), and test & development workloads. Spot Instances are ideal for workloads that can be interrupted, such as batch image rendering applications1. On-Demand Instances are instances that let you pay for compute capacity by the hour or second (minimum of 60 seconds) with no long-term commitments. This frees you from the costs and complexities of planning, purchasing, and maintaining hardware and transforms what are commonly large fixed costs into much smaller variable costs2. Reserved Instances are instances that provide you with a significant discount (up to 75%) compared to On-Demand Instance pricing. In exchange, you select a term and make an upfront payment to reserve a certain amount of compute capacity for that term3. Dedicated Instances are instances that run in a VPC on hardware that’s dedicated to a single customer. Your Dedicated Instances are physically isolated at the host hardware level from instances that belong to other AWS accounts4.

 Amazon ElastiCache is a fully managed in-memory data store and cache service that delivers sub-millisecond response times to applications. You can use ElastiCache as a primary data store for your applications, or as a cache to improve the performance of your existing databases. ElastiCache supports two popular open-source in-memory engines: Redis and Memcached5.

Rightsizing is the cloud concept that is demonstrated by using AWS Compute Optimizer. Rightsizing is the process of adjusting the type and size of your cloud resources to match the optimal performance and cost for your workloads. AWS Compute Optimizer is a service that analyzes the configuration and utilization metrics of your AWS resources, such as Amazon EC2 instances, Amazon EBS volumes, AWS Lambda functions, and Amazon ECS services on AWS Fargate. It reports whether your resources are optimal, and generates optimization recommendations to reduce the cost and improve the performance of your workloads. AWS Compute Optimizer uses machine learning to analyze your historical utilization data and compare it with the most cost-effective AWS alternatives. You can use the recommendations toevaluate the trade-offs between cost and performance, and decide when to move or resize your resources to achieve the best results. References: Workload Rightsizing - AWS Compute Optimizer - AWS, What is AWS Compute Optimizer? - AWS Compute Optimizer

The AWS service that should be used when a company needs to provide its remote employees with virtual desktops is Amazon WorkSpaces. Amazon WorkSpaces is a fully managed, secure desktop-as-a-service (DaaS) solution that runs on AWS. Amazon WorkSpaces allows users to provision cloud-based virtual desktops and provide their end users access to the documents, applications, and resources they need from any supported device, including Windows and Mac computers, Chromebooks, iPads, Fire tablets, and Android tablets4. Amazon Identity and Access Management (IAM), AWS Directory Service, and AWS IAM Identity Center (AWS Single Sign-On) are other AWS services related to identity and access management, but they do not provide virtual desktops.

Amazon S3 is the AWS service that offers object storage. Object storage is a technology that stores and manages data in an unstructured format called objects. Each object consists of the data, metadata, and a unique identifier. Object storage is ideal for storing large amounts of unstructured data, such as photos, videos, email, web pages, sensor data, and audio files1. Amazon S3 provides industry-leading scalability, data availability, security, and performance for object storage2.

Amazon RDS is the AWS service that offers relational database storage. Relational database storage is a technology that stores and manages data in a structured format called tables. Each table consists of rows and columns that define the attributes and values of the data. Relational database storage is ideal for storing structured or semi-structured data, such as customer records, inventory, transactions, and analytics3.

Amazon Elastic File System (Amazon EFS) is the AWS service that offers file storage. File storage is a technology that stores and manages data in a hierarchical format called files and folders. Each file consists of the data and metadata, and each folder consists of files or subfolders. File storage is ideal for storing shared data that can be accessed by multiple users or applications, such as home directories, content repositories, media libraries, and configuration files4.

Amazon DynamoDB is the AWS service that offers NoSQL database storage. NoSQL database storage is a technology that stores and manages data in a flexible format called documents or key-value pairs. Each document or key-value pair consists of the data and metadata, and can have different attributes and values depending on the schema. NoSQL database storage is ideal for storing dynamic or unstructured data that requires high performance, scalability, and availability, such as web applications, social media, gaming, and IoT.

Amazon Cognito is a service that provides user authentication and authorization for web and mobile applications. You can use Amazon Cognito to enable users to sign in directly with a user name and password, or through a third-party provider, such as Facebook, Google, or Amazon. You can also use Amazon Cognito to manage user profiles, preferences, and security settings3

The AWS service that the company should use to meet these requirements is A. AWS Snowmobile.

AWS Snowmobile is a service that allows you to migrate large amounts of data to AWS using a 45-foot long ruggedized shipping container that can store up to 100 petabytes of data. AWS Snowmobile is designed for situations where you need to move massive amounts of data to the cloud in a fast, secure, and cost-effective way.AWS Snowmobile has the least possible operational overhead because it eliminates the need to buy, configure, or manage hundreds or thousands of storage devices12.

AWS Snowball Edge is a service that allows you to migrate data to AWS using a physical device that can store up to 80 terabytes of data and has compute and storage capabilities to run applications on the device. AWS Snowball Edge is suitable for situations where you have limited or intermittent network connectivity, or where bandwidth costs are high.However, AWS Snowball Edge has more operational overhead than AWS Snowmobile because you need to request multiple devices and transfer your data onto them using the client3.

AWS Data Exchange is a service that allows you to find, subscribe to, and use third-party data in the cloud.AWS Data Exchange is not a data migration service, but rather a data marketplace that enables data providers and data consumers to exchange data sets securely and efficiently4.

AWS Database Migration Service (AWS DMS) is a service that helps migrate databases to AWS.AWS DMS does not migrate file storage data, but rather supports various database platforms and engines as sources and targets5.

The concept of granting access only to the resources needed to perform a task is known as least privilege access. This is a security best practice in IAM that helps to reduce the risk of unauthorized or malicious actions. By applying least privilege access, you can limit the permissions of your IAM users, groups, and roles to the minimum required for their specific tasks. You can also use conditions, permissions boundaries, and IAM Access Analyzer to further restrict and verify access. References: Security best practices in IAM, Policies and permissions in IAM, Use IAM policies to grant the least privileges required to access Amazon RDS resources, How to Design a Least Privilege Architecture in AWS, 12 Azure & AWS IAM Security Best Practices

According to the AWS shared responsibility model, AWS is responsible for the security of the cloud, while customers are responsible for the security in the cloud. This means that AWS is responsible for the physical servers, networking, and operating system that run Lambdafunctions, while customers are responsible for the security of their code and AWS IAM to the Lambda service and within their function1. Customers need to manage the code within the Lambda function, such as writing, testing, debugging, deploying, and updating the code, as well as ensuring that the code does not contain any vulnerabilities or malicious code that could compromise the security or performance of the function23. References: 2: AWS Lambda - Amazon Web Services (AWS), 3: AWS Lambda Documentation, 1: Amazon CLF-C02: What is customer responsibility under AWS … - PUPUWEB

Rehosting ("lift and shift") is a migration strategy where applications are moved to the cloud with minimal changes, making it the least effort-intensive method for applications incompatible with the cloud. Repurchasing involves moving to a different product, often a SaaS solution, which can also minimize migration effort by avoiding the need for application-level changes. Retiring, replatforming, and refactoring require significant effort either in terms of analyzing and shutting down the application, making changes to the underlying platform, or redesigning the application architecture, respectively.

 The correct answer is B because AWS Cloud9 is an AWS service that enables users to run their existing custom, nonproduction workloads in the AWS Cloud quickly and cost-effectively. AWS Cloud9 is a cloud-based integrated development environment (IDE) that allows users to write, run, and debug code from a web browser. AWS Cloud9 supports multiple programming languages, such as Python, Java, Node.js, and more. AWS Cloud9 also provides users with a terminal that can access AWS services and resources, such as Amazon EC2 instances, AWS Lambda functions, and AWS CloudFormation stacks. The other options are incorrect because they are not AWS services that enable users to run their existing custom, nonproduction workloads in the AWS Cloud quickly and cost-effectively. AWS CodeBuild is an AWS service that enables users to compile, test, and package their code for deployment. AWS OpsWorks is an AWS service that enables users to configure and manage their applications using Chef or Puppet. AWS Cloud Development Kit (AWS CDK) is an AWS service that enables users to define and provision their cloud infrastructure using familiar programming languages, such as TypeScript, Python, Java, and C#. Reference: AWS Cloud9 FAQs

AVPC (Virtual Private Cloud)in AWS is a logically isolated network that you define in the AWS Cloud. Within a VPC, you can create subnets, route tables, network gateways, and more.

D. Internet Gateway: An internet gateway is a component that allows communication between resources in a VPC and the internet.

E. Subnet: A subnet is a range of IP addresses in your VPC. Subnets can be public or private and are essential for organizing resources within a VPC.

Why other options are not suitable:

A. Amazon API Gateway: Used for creating and managing APIs, not a direct component of a VPC.

B. Amazon S3 buckets and objects: Amazon S3 is a storage service; its resources are globally accessible and not confined to a VPC.

C. AWS Storage Gateway: A hybrid cloud storage service, not a core component of a VPC.

"The Reliability pillar encompasses the ability of a workload to perform its intended function correctly and consistently when it’s expected to. This includes the ability to operate and test the workload through its total lifecycle." https://docs.aws.amazon.com/wellarchitected/latest/framework/reliability.html

Amazon Kendra is a highly accurate and easy to use intelligent search service powered by machine learning. It enables users to easily find the content they are looking for, even when it is scattered across multiple locations and content repositories within their organization. Amazon Kendra supports natural language queries, and can search fortext in documents stored in Amazon S3, as well as other sources such as SharePoint, OneDrive, Salesforce, ServiceNow, and more1.

Amazon Rekognition is a computer vision service that makes it easy to add image and video analysis to applications. It can detect objects, faces, text, scenes, activities, and emotions in images and videos. However, it is not designed for searching for text in documents stored in Amazon S32.

Amazon Polly is a text-to-speech service that turns text into lifelike speech. It can create audio versions of books, articles, podcasts, and more. However, it is not designed for searching for text in documents stored in Amazon S33.

Amazon Lex is a service for building conversational interfaces using voice and text. It can create chatbots that can interact with users using natural language. However, it is not designed for searching for text in documents stored in Amazon S34.

Amazon Textract is a service that automatically extracts text and data from scanned documents. Amazon Textract goes beyond simple optical character recognition (OCR) to also identify thecontents of fields in forms and information stored in tables. Amazon Textract can analyze images of scanned financial invoices and extract the total balance amounts, as well as other relevant information, such as invoice number, date, vendor name, etc5.

According to the AWS shared responsibility model, AWS is responsible for the security of the cloud, which includes the tasks of monitoring the health of an Availability Zone and protecting the infrastructure that runs Amazon EC2 instances. An Availability Zone is a physically isolated location within an AWS Region that has its own power, cooling, and network connectivity. AWS monitors the health and performance of each Availability Zone and notifies customers of any issues or disruptions. AWS also protects the infrastructure that runs AWS services, such as Amazon EC2, by implementing physical, environmental, and operational security measures. AWS is not responsible for patching an Amazon EC2 instance operating system, configuring a security group, or managing access to the data in an Amazon S3 bucket. These are the customer’s responsibilities for security in the cloud. The customer must ensure that the operating system and applications on their EC2 instances are up to date and secure. The customer must also configure the security group rules that control the inbound and outbound traffic for their EC2 instances. The customer must also manage the access permissions and encryption settings for their S3 buckets and objects2

Amazon Athena is a serverless, interactive analytics service that allows users to run SQL queries on data stored in Amazon S3. It is ideal for occasional queries on large datasets, as it does not require any server provisioning, configuration, or management. Users only pay for the queries they run, based on the amount of data scanned. Amazon Athena supports various data formats, such as CSV, JSON, Parquet, ORC, and Avro, and integrates with AWS Glue Data Catalog to create and manage schemas. Amazon Athena also supports querying data from other sources, such as on-premises or other cloud systems, using data connectors1.

Amazon Redshift is a fully managed data warehouse service that allows users to run complex analytical queries on petabyte-scale data. However, it requires users to provision and maintain clusters of nodes, and pay for the storage and compute capacity they use. Amazon Redshift is more suitable for frequent and consistent queries on structured or semi-structured data2.

Amazon Kinesis is a platform for streaming data on AWS, enabling users to collect, process, and analyze real-time data. It is not designed for querying data stored in Amazon S3. Amazon Kinesis consists of four services: Kinesis Data Streams, Kinesis Data Firehose, Kinesis Data Analytics, and Kinesis Video Streams3.

Amazon RDS is a relational database service that provides six database engines: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. It simplifies database administration tasks such as backup, patching, scaling, and replication. However, it is not optimized for querying data stored in Amazon S3. Amazon RDS is more suitable for transactional workloads that require high performance and availability4.

Amazon EC2 usage is calculated by either the hour or the second based on the size of the instance, operating system, and the AWS Region where the instances are launched. Pricing is per instance-hour consumed for each instance, from the time an instance is launched until it’s terminated or stopped. Each partial instance-hour consumed is billed per-second for Linuxinstances and as a full hour for all other instance types1. Therefore, the customer will be billed for 3 hours and 6 minutes for running an On-Demand Amazon Linux EC2 instance for 3 hours, 5 minutes, and 6 seconds. References: Understand Amazon EC2 instance-hours billing

The correct answer is A. Benefits management.

Benefits management is the AWS CAF governance perspective capability that helps you define and track business outcomes as part of your cloud transformation journey.Benefits management helps you align your cloud initiatives with your business objectives, measure the value and impact of your cloud investments, and communicate the benefits of cloud adoption to your stakeholders12.

Risk management is the AWS CAF governance perspective capability that helps you identify and mitigate the potential risks associated with cloud adoption, such as security, compliance, legal, and operational risks12.

Application portfolio management is the AWS CAF governance perspective capability that helps you assess and optimize your existing application portfolio for cloud migration or modernization.Application portfolio management helps you categorize your applications based on their business value and technical fit, prioritize them for cloud adoption, and select the best migration or modernization strategy for each application12.

Cloud financial management is the AWS CAF governance perspective capability that helps you manage and optimize the costs and value of your cloud resources.Cloud financial management helps you plan and budget for cloud adoption, track and allocate cloud costs, implement cost optimization strategies, and report on cloud financial performance12.

 IAM roles are a secure way to grant permissions to applications running on an Amazon EC2 instance to make calls to other AWS services. IAM roles are entities that have specific permissions policies attached to them. You can create an IAM role and associate it with an EC2 instance when you launch it or later. The applications on the instance can then use the temporary credentials provided by the role to access AWS resources that the role allows. This way, you do not have tostore any long-term credentials or access keys on the instance, which reduces the risk of compromise or misuse12.

The other options are not correct, because:

Security groups are virtual firewalls that control the inbound and outbound traffic for your EC2 instances. Security groups do not grant permissions to access other AWS services, but rather filter the network traffic based on rules that you define3.

AWS Firewall Manager is a service that helps you centrally configure and manage firewall rules across your accounts and resources. AWS Firewall Manager works with AWS WAF, AWS Shield Advanced, and Amazon VPC security groups. AWS Firewall Manager does not grant permissions to access other AWS services, but rather helps you enforce consistent security policies across your AWS infrastructure4.

IAM user SSH keys are credentials that allow you to connect to your EC2 instance using SSH. SSH keys do not grant permissions to access other AWS services, but rather authenticate your identity when you log in to your instance5.

Using an IAM role to grant permissions to applications running on Amazon EC2 instances - AWS Identity and Access Management

IAM roles for Amazon EC2 - Amazon Elastic Compute Cloud

Security groups for your VPC - Amazon Virtual Private Cloud

What is AWS Firewall Manager? - AWS Firewall Manager

Connecting to your Linux instance using SSH - Amazon Elastic Compute Cloud

Auto Scaling groups are a feature that allows users to automatically scale the number of Amazon EC2 instances up or down based on demand or a predefined schedule. Auto Scaling groups can helpimprove the performance and availability of applications by adjusting the capacity in response to traffic fluctuations1. AWS Global Accelerator is a service that improves the availability and performance of applications by routing traffic through AWS edge locations2. Amazon Route 53 is a service that provides scalable and reliable domain name system (DNS) service3. An Elastic IP address is a static IPv4 address that can be associated with an Amazon EC2 instance4.

The solution that achieves the goal of having Amazon EC2 instances share the same geographic area but use multiple independent underlying power sources is to use EC2 instances in multiple Availability Zones in the same AWS Region. An Availability Zone is a physically isolated location within an AWS Region that has its own power, cooling, and network connectivity. An AWS Region is a geographical area that consists of two or more Availability Zones. By using multiple Availability Zones, users can increase the fault tolerance and resilience of their applications, as well as reduce latency for end users3. Using EC2 instances in a single Availability Zone, multiple AWS Regions, or the same edge location and the same AWS Region would not meet the requirement of having multiple independent power sources.

Amazon S3 is a service that provides highly durable and cost-effective object storage for a variety of use cases, including backup and archive, big data analytics, disaster recovery, and cloud applications. Amazon S3 offers 99.999999999% (11 9’s) of durability, meaning that data is designed to withstand the loss of two facilities concurrently. Amazon S3 also offers several storage classes with different price and performance characteristics, such as S3 Glacier and S3 Glacier Deep Archive, which are ideal for long-term archival of data that is rarely accessed. AWS Snowball, AWS Storage Gateway, and Amazon Kinesis are not designed to provide the same level of durability and cost-effectiveness as Amazon S3 for storing call recordings for 6 years. Source: Amazon S3

 AWS Budgets allows you to set custom budgets that alert you when your costs or usage exceed (or are forecasted to exceed) your budgeted amount. You can also use AWS Budgets to set reservation utilization or coverage targets and receive alerts when your utilization drops below the threshold you define. AWS Budgets provides you with a comprehensive view of your cost and usage, as well as your reservation utilization and coverage1.

The AWS Well-Architected Framework is a set of best practices and guidelines for designing and operating workloads on AWS. It helps customers achieve operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. The framework is based on six pillars, each with its own design principles, best practices, and questions. Customers can use the framework to assess their current state, identify gaps, and implement improvements12.

AWS Support is a service that provides technical assistance, guidance, and resources for AWS customers. It offers different plans with varying levels of access to AWS experts, response times, and features3. AWS Support does not provide a comprehensive framework for operational support.

AWS Cloud Adoption Framework (AWS CAF) is a guidance tool that helps customers plan and execute their cloud migration journey. It provides a set of perspectives, capabilities, and best practices to align the business and technical aspects of cloud adoption4. AWS CAF does not focus on operational support for existing workloads on AWS.

AWS Managed Services (AMS) is a service that operates AWS infrastructure on behalf of customers. It provides a secure and compliant environment, automates commonactivities, and applies best practices for provisioning, patching, backup, recovery, and monitoring5. AMS does not provide a framework for customers to operate their own workloads on AWS.

AWS IAM Access Analyzer is an AWS service that helps customers identify and review the resources in their AWS account that are shared with an external entity, such as another AWS account, a root user, an organization, or a public entity. AWS IAM Access Analyzer uses automated reasoning, a form of mathematical logic and inference, to analyze the resource-based policies in the account and generate comprehensive findings that show the access level, the source of the access, the affected resource, and the condition under which the access applies. Customers can use AWS IAM Access Analyzer to audit their shared resources, validate their access policies, and monitor any changes to the resource sharing status. References: AWSIAM Access Analyzer, Identify and review resources shared with external entities, How AWS IAM Access Analyzer works

Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled products. Polly’s Text-to-Speech (TTS) service uses advanced deep learning technologies to synthesize natural sounding human speech1. Amazon Polly supports dozens of languages and a wide range of natural-sounding voices. You can customizeand control the speech output by using lexicons and SSML tags. You can also store and redistribute the speech output in standard audio formats like MP3 and OGG2.

Amazon Transcribe is a service that converts speech to text, enabling you to create text transcripts from audio or video files. It can recognize multiple speakers, different languages, accents, dialects, and background noises. It can also add punctuation and formatting to the transcripts. Amazon Transcribe is useful for applications such as subtitling, captioning, transcription, and voice search.

Amazon Rekognition is a service that provides image and video analysis using computer vision and deep learning. It can detect objects, faces, text, scenes, activities, and emotions in images and videos. It can also perform face recognition, face comparison, face search, celebrity recognition, and facial analysis. Amazon Rekognition is useful for applications such as security, social media, e-commerce, and media and entertainment.

Amazon Textract is a service that extracts text and data from scanned documents using optical character recognition (OCR) and machine learning. It can identify the contents of fields in forms and tables, as well as the relationships between them. It can also preserve the layout and structure of the original document. Amazon Textract is useful for applications such as data entry, document management, compliance, and analytics.

 Amazon QuickSight is an AWS service that provides business intelligence and data visualization capabilities. Amazon QuickSight enables you to ingest, analyze, and display data from various sources, such as AWS Cost and Usage Reports, Amazon S3, Amazon Athena, Amazon Redshift, and Amazon RDS. You can use Amazon QuickSight to create interactive dashboards and charts that show insights and trends from your data. You can also share your dashboards and charts with other users or embed them into your applications.

 These are two scenarios that represent the concept of elasticity on AWS. Elasticity means the ability to adjust the resources and capacity of the system in response to changes in demand or environment. Scaling the number of Amazon EC2 instances based on traffic means using services such as AWS Auto Scaling or Elastic Load Balancing to add or remove instances as the traffic increases or decreases. Resizing Amazon RDS instances as business needs change means using the Amazon RDS console or API to modify the instance type, storage type, or storage size of the database as the workload grows or shrinks. You can learn more about the concept of elasticity on AWS from [this webpage] or [this digital course].

Amazon Lightsail is an easy-to-use cloud platform that offers you everything needed to build an application or website, plus a cost-effective, monthly plan. Whether you’re new to the cloud or looking to get on the cloud quickly with AWS infrastructure you trust, we’ve got you covered. Lightsail provides the simplest way for the company to establish a website on AWS.

 AWS Elastic Beanstalk, Amazon Aurora, and AWS Auto Scaling are managed services that reduce the operational overhead for the customers. AWS is responsible for security patching, backups, and termination of these services. However, the customers are still responsible for configuring IAM access controls to manage the permissions and policies for their AWS resources. This is part of the AWS shared responsibility model, which defines the security and compliance responsibilities of AWS and the customers. You can learn more about the AWS shared responsibility model from this whitepaper or this digital course.

The approach that will achieve the goal of designing a reliable web application that is hosted on Amazon EC2 is to spread EC2 instances across more than one Availability Zone. An Availability Zone is a physically isolated location within an AWS Region that has its own power, cooling, and network connectivity. By spreading EC2 instances across multiple Availability Zones, users can increase the fault tolerance and availability of their web applications, as well as reduce latency for end users2. Launching large EC2 instances in the same Availability Zone, spreading EC2 instances across more than one security group, or using an Amazon Machine Image (AMI) from AWS Marketplace are not sufficient to ensure reliability, as they do not provide redundancy or resilience in case of an outage in one Availability Zone.

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application development. You can use various data integration engines, such as ETL, ELT, batch, and streaming, and manage your data in a centralized data catalog. AWS Glue is designed specifically for extract, transform, and load (ETL) data, whereas the other options are not.

AWS CodePipeline is a continuous delivery and deployment service that automates the release process of software applications across different stages, such as source code, build, test, and deploy2. AWSAppSync, AWS Cloud9, and AWS CodeCommit are other AWS services related to application development, but they do not provide continuous delivery and deployment solutions34 .

Amazon Inspector is the AWS service that can be used to perform vulnerability scans on AWS EC2 instances for software vulnerabilities automatically in a periodic fashion. Amazon Inspector automatically discovers EC2 instances and scans them for software vulnerabilities and unintended network exposure. Amazon Inspector uses AWS Systems Manager (SSM) and the SSM Agent to collect information about the software application inventory of the EC2 instances. This data is then scanned by Amazon Inspector for software vulnerabilities12. Amazon Inspector also integrates with other AWS services, such as AmazonEventBridge and AWS Security Hub, to automate discovery, expedite vulnerability routing, and shorten mean time to remediate (MTTR) vulnerabilities2.

Scaling horizontally across multiple Availability Zones is a way to adopt a highly available architecture, as it increases the fault tolerance and resilience of the application. Scaling vertically to a larger EC2 instance size is a way to improve the performance of the application, but it does not improve the availability. Purchasing an EC2 Dedicated Instance is a way to isolate the instance from other AWS customers, but it does not improve the availability. Changing the EC2 instance family to a compute optimized instance is a way to optimize the instance type for the workload, but it does not improve the availability. These concepts are explained in the AWS Well-Architected Framework2.

AWS Business Support is the most cost-effective AWS Support plan that provides chat access to a cloud support engineer 24/7. AWS Business Support also offers phone and email support, as well as a response time of less than one hour for urgent issues. AWS Business Support does not include access to infrastructure event management, which is a feature of AWS Enterprise Support. AWS Enterprise Support is more expensive and provides additional benefits, such as a technical account manager, a support concierge, and a response time of less than 15 minutes for critical issues. AWS Developer Support and AWS Basic Support do not provide chat access to a cloud support engineer. AWS Developer Support provides email support and a response time of less than 12 hours for general guidance issues. AWS Basic Support provides customer service and account support, as well as access to forums and documentation1

Amazon EC2 Auto Scaling is an AWS service that can help users reduce the number of Amazon EC2 instances that run when application usage is low. Amazon EC2 Auto Scaling allows users to create scaling policies that automatically adjust the number of EC2 instances based on the demand or a schedule. EC2 Instance Savings Plans, Spot Instances, and Reserved Instances are instance purchasing options that can help users save money on EC2 usage, but they do not automatically scale the number of instances according to the application usage .

Amazon Personalize is an AWS service that helps developers quickly build and deploy a custom recommendation engine with real-time personalization and user segmentation1. It uses machine learning (ML) to analyze customer data and provide relevant recommendations based on their preferences, behavior, and context.Amazon Personalize can be used for various use cases such as optimizing recommendations, targeting customers more accurately, maximizing the value of unstructured text, and promoting items using business rules1.

The other options are not suitable for providing product recommendations based on customer data. Amazon Polly is a service that converts text into lifelike speech. Amazon Comprehend is a service that uses natural language processing (NLP) toextract insights from text and documents. Amazon Rekognition is a service that uses computer vision (CV) to analyze images and videos for faces, objects, scenes, and activities.

1: Cloud Products - Amazon Web Services (AWS)

2: Recommender System – Amazon Personalize – Amazon Web Services

3: Top 25 AWS Services List 2023 - GeeksforGeeks

4: AWS to Azure services comparison - Azure Architecture Center

5: The 25+ Best AWS Cost Optimization Tools (Updated 2023) - CloudZero

6: Amazon Polly – Text-to-Speech Service - AWS

7: Natural Language Processing - Amazon Comprehend - AWS

8: Image and Video Analysis - Amazon Rekognition - AWS

According to the AWS shared responsibility model, AWS is responsible for the security of the cloud, which includes the virtualization layer down to the physical security of the facilities in which AWSservices operate1. The customer is responsible for the security in the cloud, which includes the configuration and management of the AWS resources and applications that they use1.

The AWS service or resource that will meet these requirements is D. AWS Partner Network (APN).

AWS Partner Network (APN) is a global community of consulting and technology partners that offer a wide range of services and solutions for AWS customers. APN partners can help customers design, architect, build, migrate, and manage their workloads and applications on AWS.APN partners have access to various resources, training, tools, and support to enhance their AWS expertise and deliver value to customers12.

AWS Support is a service that provides technical assistance and guidance for AWS customers. AWS Support offers different plans with varying levels of response time, access channels, and features.AWS Support does not directly engage third-party consultants, but rather connects customers with AWS experts and resources3.

AWS Organizations is a service that allows customers to manage multiple AWS accounts within a single organization. AWS Organizations enables customers to create groups of accounts, apply policies, automate account creation, and consolidate billing.AWS Organizations does not directly engage third-party consultants, but rather helps customers simplify and optimize their AWS account management4.

AWS Service Catalog is a service that allows customers to create and manage catalogs of IT services that are approved for use on AWS. AWS Service Catalogenables customers to control the configuration, deployment, and governance of their IT services.AWS Service Catalog does not directly engage third-party consultants, but rather helps customers standardize and streamline their IT service delivery5.

This is the pillar of the AWS Well-Architected Framework that represents the philosophy of testing failure scenarios regularly and validating the understanding of the impact of potential failures. The operational excellence pillar covers the best practices for designing, running, monitoring, and improving systems in the AWS Cloud. Testing failure scenarios is one of the ways to improve the system’s resilience, reliability, and recovery. You can learn more about the operational excellence pillar from this whitepaper or this digital course.

Amazon Simple Queue Service (Amazon SQS) is a service that provides fully managed message queues for asynchronous communication between microservices. It helps developers use loose coupling and reliable messaging by allowing them to send, store, and receive messages between distributed components without losing them or requiring each component to be always available1.Elastic Load Balancing is a service that distributes incoming traffic across multiple targets, such as Amazon EC2 instances, containers, and IP addresses. Amazon Simple Notification Service (Amazon SNS) is a service that provides fully managed pub/sub messaging for event-driven and push-based communication between microservices. Amazon CloudFront is a service that provides a fast and secure content delivery network (CDN) for web applications.

Amazon CloudFront is a fast content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency, high transfer speeds, all within a developer-friendly environment. It works seamlessly with services including AWS Shield for DDoS mitigation, Amazon S3, Elastic Load Balancing or Amazon EC2 as origins for your applications, and Lambda@Edge to run custom code closer to customers’ users and to customize the user experience. By using CloudFront, you can cache your content at the edge locations that are closest to your end users, reducing the network latency and improving theperformance of your application. CloudFront also offers a pay-as-you-go pricing model, so you only pay for the data transfer and requests that you use.

 The AWS account root user is the email address that you use to sign up for AWS. The root user has complete access to all AWS services and resources in the account. The root user can perform tasks that only the root user can do, such as changing the AWS Support plan, closing the account, and restoring IAM user permissions34

 Amazon CloudWatch is a service that provides monitoring and observability for AWS resources and applications. Users can create custom dashboards to collect and visualize metrics, logs, alarms, and events from different sources5. AWS X-Ray is a service that provides distributed tracing and analysis for applications. AWS Systems Manager is a service that provides operational management for AWS resources and applications. AWS CloudTrail is a service that provides governance, compliance, and auditing for AWS account activity.

Amazon Timestream is a fast, scalable, and serverless time-series database service for IoT and other operational applications that makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th thecost of relational databases1. Amazon Timestream saves you time and cost in managing the lifecycle of time series data, and its purpose-built query engine lets you access and analyze recent and historical data together with a single query1. Amazon Timestream has built-in time series analytics functions, helping you identify trends and patterns in near real time1.

The other options are not suitable for storing and analyzing trillions of events per day. Amazon Neptune is a graph database service that supports highly connected data sets. Amazon Forecast is a machine learning service that generates accurate forecasts based on historical data. Amazon DocumentDB (with MongoDB compatibility) is a document database service that supports MongoDB workloads.

1: Time Series Database – Amazon Timestream – Amazon Web Services

AWS Regions are the AWS service or resource that the company should use to select its Amazon RDS deployment area. AWS Regions are separate geographic areas where AWS clusters its data centers. Each AWS Region consists of multiple, isolated, and physically separate Availability Zones within a geographic area. Each AWS Region is designed to be isolated from the other AWS Regions to achieve the highest possible fault tolerance and stability. AWS provides a more extensive global footprint than any other cloud provider, and to support its global footprint and ensure customers are served across the world, AWS opens new Regions rapidly. AWS maintains multiple geographic Regions, including Regions in North America, South America, Europe, China, Asia Pacific, South Africa, and the Middle East. Amazon RDS is available in several AWS Regions worldwide. To create or work with an Amazon RDS DB instance in a specific AWS Region, you must use the corresponding regional service endpoint. You can choose the AWS Region that meets your latency or legal requirements. You can also use multiple AWS Regions to design a disaster recovery solution or to distribute your read workload. References: Global Infrastructure Regions & AZs - aws.amazon.com, Regions, Availability Zones, and Local Zones - Amazon Relational Database Service