SAP-C02 Amazon Web Services AWS Certified Solutions Architect

AWS Certified Solutions Architect - Professional

Last Update 15 hours ago Total Questions : 674

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Question # 31

A healthcare company is building a user support chat-based assistant on Amazon Bedrock. Users will ask health questions that might include personal details in the prompts.

A solutions architect must configure a solution that can do the following:

• Prevent the assistant from providing medical diagnosis advice.

• Redact personally identifiable information (PII) from both user inputs and model responses.

• Enforce the same controls even if the company changes foundation models (FMs) later.

• Evaluate risky user prompts before sending the prompts to a model to avoid unnecessary inference costs.

Which solution will meet these requirements?

Store approved health support guidelines in an Amazon Bedrock knowledge base. Configure system prompts that instruct the model not to provide diagnosis advice. Use an AWS Lambda function after inference to remove PII from the model response before the response is returned to users.

Fine-tune an FM on approved support conversations. Add prompt templates that prohibit diagnosis advice. Run a separate review process that scans transcripts for prohibited topics and sensitive information after the conversations end.

Build a custom moderation layer in the application to inspect prompts for prohibited topics and to redact sensitive information from user inputs. Invoke the model through the Converse API. Use separate post-processing logic to redact sensitive information from responses before displaying responses to users.

Create an Amazon Bedrock guardrail. Configure denied topics for medical diagnosis advice. Configure sensitive information filters to mask PII. Configure content filters. Call the ApplyGuardrail API on user prompts before inference. Include the same guardrail in the Converse API to evaluate model responses.

Question # 32

A company runs an application on Amazon EC2 and AWS Lambda. The application stores temporary data in Amazon 53. The 53 objects are deleted after 24 hours.

The company deploys new versions of the application by launching AWS CloudFormation stacks. The stacks create the required resources. After validating a new version, the company deletes the old stack. The deletion of an old development stack recently failed. A solutions architect needs to resolve this Issue without major architecture changes.

Which solution will meet these requirements?

Create a Lambda function to delete objects from an 53 bucket. Add the Lambda function as acustom resource in the CloudFormation stack with a DependsOn attribute that points to the S3 bucket resource.

Modify the CkxidFormatton stack to attach a DeletionPolicy attribute with a value of Delete to the S3 bucket.

Update the CloudFormation stack to add a DeletionPolicy attribute with a value of Snapshot for the S3 bucket resource.

Update the CloudFormation template to create an Amazon EFS file system to store temporary files Instead of Amazon S3. Configure the Lambda functions to run in the same VPC as the EFS file system.

Question # 33

A company manages multiple AWS accounts by using AWS Organizations. Under the root OU. the company has two OUs: Research and DataOps.

Because of regulatory requirements, all resources that the company deploys in the organizationmust reside in the ap-northeast-1 Region. Additionally. EC2 instances that the company deploys in the DataOps OU must use a predefined list of instance types

A solutions architect must implement a solution that applies these restrictions. The solution must maximize operational efficiency and must minimize ongoing maintenance

Which combination of steps will meet these requirements? (Select TWO )

Create an IAM role in one account under the DataOps OU Use the ec2 Instance Type condition key in an inline policy on the role to restrict access to specific instance types.

Create an IAM user in all accounts under the root OU Use the aws RequestedRegion condition key in an inline policy on each user to restrict access to all AWS Regions except ap-northeast-1.

Create an SCP Use the aws:RequestedRegion condition key to restrict access to all AWS Regions except ap-northeast-1 Apply the SCP to the root OU.

Create an SCP Use the ec2Reo»on condition key to restrict access to all AWS Regions except ap-northeast-1. Apply the SCP to the root OU. the DataOps OU. and the Research OU.

Create an SCP Use the ec2:lnstanceType condition key to restrict access to specific instance types Apply the SCP to the DataOps OU.

Question # 34

A company is running a web application in the AWS Cloud. The application consists of dynamic content that is created on a set of Amazon EC2 instances. The

EC2 instances run in an Auto Scaling group that is configured as a target group for an Application Load Balancer (ALB).

The company is using an Amazon CloudFront distribution to distribute the application globally. The CloudFront distribution uses the ALB as an origin. The company uses Amazon Route 53 for DNS and has created an A record of www.example.com for the CloudFront distribution.

A solutions architect must configure the application so that itis highly available and fault tolerant.

Which solution meets these requirements?

Provision a full, secondary application deployment in a different AWS Region. Update the Route 53 A record to be a failover record. Add both of the CloudFront distributions as values. Create Route 53 health checks.

Provision an ALB, an Auto Scaling group, and EC2 instances in a different AWS Region. Update the CloudFront distribution, and create a second origin for the new ALB. Create an origin group for the two origins. Configure one origin as primary and one origin as secondary.

Provision an Auto Scaling group and EC2 instances in a different AWS Region. Create a second target for the new Auto Scaling group in the ALB. Set up the failover routing algorithm on the ALB.

Provision a full, secondary application deployment in a different AWS Region. Create a second CloudFront distribution, and add the new application setup as an origin. Create an AWS Global Accelerator accelerator. Add both of the CloudFront distributions as endpoints.

Question # 35

A retail company has an on-premises data center in Europe. The company also has a multi-Region AWS presence that includes the eu-west-1 and us-east-1 Regions. The company wants to be able to route network traffic from its on-premises infrastructure into VPCs in either of those Regions. The company also needs to support traffic that is routed directly between VPCs in those Regions. No single points of failure can exist on the network.

The company already has created two 1 Gbps AWS Direct Connect connections from its on-premises data center. Each connection goes into a separate Direct Connect location in Europe for high availability. These two locations are named DX-A and DX-B, respectively. Each Region has a single AWS Transit Gateway that is configured to route all inter-VPC traffic within that Region.

Which solution will meet these requirements?

Create a private VIF from the DX-A connection into a Direct Connect gateway. Create a private VIF from the DX-B connection into the same Direct Connect gateway for high availability. Associate both the eu-west-1 and us-east-1 transit gateways with the Direct Connect gateway. Peer the transit gateways with each other to support cross-Region routing.

Create a transit VIF from the DX-A connection into a Direct Connect gateway. Associate the eu-west-1 transit gateway with this Direct Connect gateway. Create a transit VIF from the DX-B connection into a separate Direct Connect gateway. Associate the us-east-1 transit gateway with this separate Direct Connect gateway. Peer the Direct Connect gateways with each other to support high availability and cross-Region routing.

Create a transit VIF from the DX-A connection into a Direct Connect gateway. Create a transit VIF from the DX-B connection into the same Direct Connect gateway for high availability. Associate both the eu-west-1 and us-east-1 transit gateways with this Direct Connect gateway. Configure the Direct Connect gateway to route traffic between the transit gateways.

Create a transit VIF from the DX-A connection into a Direct Connect gateway. Create a transit VIF from the DX-B connection into the same Direct Connect gateway for high availability. Associate both the eu-west-1 and us-east-1 transit gateways with this Direct Connect gateway. Peer the transit gateways with each other to support cross-Region routing.

Question # 36

A company runs an ecommerce website on Amazon ECS behind an Application Load Balancer (ALB). The company stores the container images in Amazon ECR. The website stores data in an Amazon Aurora MySQL DB cluster. The company uses an Amazon S3 bucket to store backup data.

The company needs to prevent data tampering. The website domain is registered with Amazon Route 53. The company wants to recreate the setup in a second AWS Region with an RPO of 5 minutes and an RTO of 15 minutes. The company has created an ALB in the second Region.

Which solution will meet these requirements?

Create a new ECS deployment that uses the Fargate launch type. Use the ECR repository in the current Region to store and pull container images. Set up a cross-Region read replica in Amazon RDS. Create a backup vault in compliance mode and a backup plan in AWS Backup. Set up a Route 53 primary record in the main Region and a secondary record with a multivalue answer routing policy.

Create a new ECS deployment that uses the Fargate launch type. Use the ECR repository in the current Region to store and pull container images. Set up a cross-Region read replica in Amazon RDS. Set up a Route 53 primary record in the main Region and a secondary record with a failover routing policy.

Set up ECR cross-Region replication. Create a new ECS deployment that uses the Fargate launch type. Migrate the DB cluster to an Aurora global database. Create a backup vault in compliance mode and a backup plan in AWS Backup. Enable point-in-time recovery and cross-Region replication for Amazon S3. Set up a Route 53 primary record in the main Region and a secondaryrecord with a failover routing policy.

Set up ECR cross-Region replication. Create a new ECS deployment that uses the Fargate launch type. Migrate the DB cluster to an Aurora global database. Create a backup vault in governance mode and a backup plan in AWS Backup. Set up a Route 53 primary record in the main Region and a secondary record with a geolocation routing policy.

Question # 37

A company needs to establish a connection from its on-premises data center to AWS. The company needs to connect all of its VPCs that are located in different AWS Regions with transitive routing capabilities between VPC networks. The company also must reduce network outbound traffic costs, increase bandwidth throughput, and provide a consistent network experience for end users.

Which solution will meet these requirements?

Create an AWS Site-to-Site VPN connection between the on-premises data center and a new central VPC. Create VPC peering connections that initiate from the central VPC to all other VPCs.

Create an AWS Direct Connect connection between the on-premises data center and AWS. Provision a transit VIF, and connect it to a Direct Connect gateway. Connect the Direct Connect gateway to all the other VPCs by using a transit gateway in each Region.

Create an AWS Site-to-Site VPN connection between the on-premises data centerand a new central VPC. Use a transit gateway with dynamic routing. Connect the transit gateway to all other VPCs.

Create an AWS Direct Connect connection between the on-premises data center and AWS Establish an AWS Site-to-Site VPN connection between all VPCs in each Region. Create VPC peering connections that initiate from the central VPC to all other VPCs.

Question # 38

A company has a project that is launching Amazon EC2 instances that are larger than required. The project ' s account cannot be part of the company ' s organization in AWS Organizations due to policy restrictions to keep this activity outside of corporate IT. The company wants to allow only the launch of t3.small

EC2 instances by developers in the project ' s account. These EC2 instances must be restricted to the us-east-2 Region.

What should a solutions architect do to meet these requirements?

Create a new developer account. Move all EC2 instances, users, and assets into us-east-2. Add the account to the company ' s organization in AWS Organizations. Enforce a tagging policy that denotes Region affinity.

Create an SCP that denies the launch of all EC2 instances except t3.small EC2 instances in us-east-2. Attach the SCP to the project ' s account.

Create and purchase a t3.small EC2 Reserved Instance for each developer in us-east-2. Assign each developer a specific EC2 instance with their name as the tag.

Create an IAM policy than allows the launch of only t3.small EC2 instances in us-east-2. Attach the policy to the roles and groups that the developers use in the project ' s account.

Question # 39

A flood monitoring agency has deployed more than 10.000 water-level monitoring sensors. Sensors send continuous data updates, and each update is less than 1 MB in size. The agency has a fleet of on-premises application servers. These servers receive upda.es ' on the sensors, convert the raw data into a human readable format, and write the results loan on-premises relational database server. Data analysts then use simple SOL queries to monitor the data.

The agency wants to increase overall application availability and reduce the effort that is required to perform maintenance tasks These maintenance tasks, which include updates and patches to the application servers, cause downtime. While an application server is down, data is lost from sensors because the remaining servers cannot handle the entire workload.

The agency wants a solution that optimizes operational overhead and costs. A solutions architect recommends the use of AWS loT Core to collect the sensor data.

What else should the solutions architect recommend to meet these requirements?

Send the sensor data to Amazon Kinesis Data Firehose. Use an AWS Lambda function to read the Kinesis Data Firehose data, convert it to .csv format, and insert it into an Amazon Aurora MySQL DB instance. Instruct the data analysts to query the data directly from the DB instance.

Send the sensor data to Amazon Kinesis Data Firehose. Use an AWS Lambda function to read the Kinesis Data Firehose data, convert it to Apache Parquet format and save it to an Amazon S3 bucket. Instruct the data analysts to query the data by using Amazon Athena.

Send the sensor data to an Amazon Managed Service for Apache Flink {previously known as Amazon Kinesis Data Analytics) application to convert the data to .csv format and store it in an Amazon S3 bucket. Import the data into an Amazon Aurora MySQL DB instance. Instruct the data analysts to query the data directly from the DB instance.

Send the sensor data to an Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) application to convert the data to Apache Parquet format and store it in an Amazon S3 bucket Instruct the data analysis to query the data by using Amazon Athena.

Question # 40

A healthcare company is designing a patient portal. The portal must use a database to store patient data. The portal must encrypt all data at rest and in transit. The portal must audit all data access. Database users must not be able to tamper with the audit trail. The company must retain the audit data for 10 years. The audit data must be immutable.

Which combination of steps will meet these requirements? (Select TWO.)

Store data in an Amazon Aurora PostgreSQL encrypted database. Enforce the use of TLS for all connections.

Store data in an Amazon RDS for PostgreSQL encrypted database. Enforce the use of TLS for all connections.

Create a database activity stream in the database cluster. Use Amazon Data Firehose to send the data to an Amazon S3 bucket. Enable S3 Object Lock in compliance mode with a 10-year retention period.

Install pgAudit in the database cluster. Store the data in Amazon CloudWatch Logs. Use Amazon Data Firehose to send the data to an Amazon S3 bucket. Enable S3 Object Lock in compliance mode with a 10-year retention period.

Install pgAudit in the database cluster. Store the data in Amazon CloudWatch Logs. Use Amazon Data Firehose to send the data to an Amazon S3 bucket. Enable S3 Object Lock in governance mode with a 10-year retention period.

Question # 41

A company uses an AWS CodeCommit repository The company must store a backup copy of the data that is in the repository in a second AWS Region

Which solution will meet these requirements?

Configure AWS Elastic Disaster Recovery to replicate the CodeCommit repository data to the second Region

Use AWS Backup to back up the CodeCommit repository on an hourly schedule Create a cross-Region copy in the second Region

Create an Amazon EventBridge rule to invoke AWS CodeBuild when the company pushes code to the repository Use CodeBuild to clone the repository Create a zip file of the content Copy the file to an S3 bucket in the second Region

Create an AWS Step Functions workflow on an hourly schedule to take a snapshot of the CodeCommit repository Configure the workflow to copy the snapshot to an S3 bucket in the second Region

Question # 42

A company is migrating a document processing workload to AWS. The company has updated many applications to natively use the Amazon S3 API to store, retrieve, and modify documents that a processing server generates at a rate of approximately 5 documents every second. After the document processing is finished, customers can download the documents directly from Amazon S3.

During the migration, the company discovered that it could not immediately update the processing server that generates many documents to support the S3 API. The server runs on Linux and requires fast local access to the files that the server generates and modifies. When the server finishes processing, the files must be available to the public for download within 30 minutes.

Which solution will meet these requirements with the LEAST amount of effort?

Migrate the application to an AWS Lambda function. Use the AWS SDK for Java to generate, modify, and access the files that the company stores directly in Amazon S3.

Set up an Amazon S3 File Gateway and configure a file share that is linked to the document store. Mount the file share on an Amazon EC2 instance by using NFS. When changes occur in Amazon S3, initiate a RefreshCache API call to update the S3 File Gateway.

Configure Amazon FSx for Lustre with an import and export policy. Link the new file system to an S3 bucket. Install the Lustre client and mount the document store to an Amazon EC2 instance by using NFS.

Configure AWS DataSync to connect to an Amazon EC2 instance. Configure a task to synchronize the generated files to and from Amazon S3.

Answer:

Explanation:

The company should configure Amazon FSx for Lustre with an import and export policy. The company should link the new file system to an S3 bucket. The company should install the Lustre client and mount the document store to an Amazon EC2 instance by using NFS. This solution will meet the requirements with the least amount of effort because Amazon FSx for Lustre is a fully managed service that provides a high-performance filesystem optimized for fast processing of workloads such as machine learning, highperformance computing, video processing, financial modeling, and electronic design automation1. Amazon FSx for Lustre can be linked to an S3 bucket and can import data from and export data to the bucket2. The import and export policy can be configured to automatically import new or changed objects from S3 and export new or changed files to S33. This will ensure that the files are available to the public for download within 30 minutes. Amazon FSx for Lustre supports NFS version 3.0 protocol for Linux clients.

The other options are not correct because:

Migrating the application to an AWS Lambda function would require a lot of effort and may not be feasible for the existing server that generates many documents. Lambda functions have limitations on execution time, memory, disk space, and network bandwidth.

Setting up an Amazon S3 File Gateway would not work because S3 File Gateway does not support write-back caching, which means that files written to the file share are uploaded to S3 immediately and are not available locally until they are downloaded again. This would not provide fast local access to the files that the server generates and modifies.

Configuring AWS DataSync to connect to an Amazon EC2 instance would not meet the requirement of making the files available to the public for download within 30 minutes. DataSync is a service that transfers data between on-premises storage systems and AWS storage services over the internet or AWS Direct Connect. DataSync tasks can be scheduled to run at specific times or intervals, but they are not triggered by file changes.

[References:, https://aws.amazon.com/fsx/lustre/, https://docs.aws.amazon.com/fsx/latest/LustreGuide/create-fs-linked-data-repo.html, https://docs.aws.amazon.com/fsx/latest/LustreGuide/import-export-data-repositories.html, https://docs.aws.amazon.com/fsx/latest/LustreGuide/mounting-on-premises.html, https://docs.aws.amazon.com/lambda/latest/dg/gettingstarted-limits.html, https://docs.aws.amazon.com/storagegateway/latest/userguide/StorageGatewayConcepts.html, https://docs.aws.amazon.com/datasync/latest/userguide/what-is-datasync.html, , , , , , , , ]

Question # 43

A company migrated its antivirus solution for 10,000 Amazon EC2 instances to a new software as a service SaaS solution. Fewer than 5% of instances reported in the new SaaS agent. The company suspects that either the new agent failed to load or the new agent’s configuration was altered. The company needs to implement a solution to ensure that all instances consistently run the most recent agent version with a predefined configuration.

Which solution will meet these requirements with the LEAST administrative overhead?

Create an AWS Lambda function that is invoked on a schedule. Store a machine list in Amazon S3. Configure the Lambda function to log in to every machine, download and install the most recent version of the agent, and configure the agent.

Implement an AWS Config rule with auto remediation that uses AWS Lambda for noncompliant events. Develop a Lambda function to access machines and download and install the most recent agent version. Schedule the Lambda function to invoke daily.

Create an AWS Systems Manager document that defines the agent installation and configuration process. Configure AWS Systems Manager State Manager to associate the document with EC2 instances. Apply the desired state on a daily schedule.

Log in to EC2 instances by using AWS Systems Manager Session Manager. Update the EC2 user data script to download and install the most recent agent and configure the agent. Reboot all EC2 instances to ensure that the script applies successfully.

Question # 44

A company wants to migrate its website to AWS. The website uses microservices and runs on containers that are deployed in an on-premises, self-managed Kubernetes cluster. All the manifests that define the deployments for the containers in the Kubernetes deployment are in source control.

All data for the website is stored in a PostgreSQL database. An open source container image repository runs alongside the on-premises environment.

A solutions architect needs to determine the architecture that the company will use for the website on AWS.

Which solution will meet these requirements with the LEAST effort to migrate?

Create an AWS App Runner service. Connect the App Runner service to the open source container image repository. Deploy the manifests from on premises to the App Runner service. Create an Amazon RDS for PostgreSQL database.

Create an Amazon EKS cluster that has managed node groups. Copy the application containers to a new Amazon ECR repository. Deploy the manifests from on premises to the EKS cluster. Create an Amazon Aurora PostgreSQL DB cluster.

Create an Amazon ECS cluster that has an Amazon EC2 capacity pool. Copy the application containers to a new Amazon ECR repository. Register each container image as a new task definition. Configure ECS services for each task definition to match the original Kubernetes deployments. Create an Amazon Aurora PostgreSQL DB cluster.

Rebuild the on-premises Kubernetes cluster by hosting the cluster on Amazon EC2 instances. Migrate the open source container image repository to the EC2 instances. Deploy the manifests from on premises to the new cluster on AWS. Deploy an open source PostgreSQL database on the new cluster.

Question # 45

A solutions architect needs to migrate an on-premises legacy application to AWS. The application runs on two servers behind a bad balancer. The application requires a license file that is associated with the MAC address of the server ' s network adapter. It takes the software vendor 12 hours to send new license files. The application also uses configuration files with a static IP address to access a database host names are not supported.

Given these requirements. which combination of steps should be taken to implement highly available architecture for the application servers in AWS? (Select TWO.)

Create a pool of ENIs. Request license files from the vendor for the pool, and store the license files in Amazon $3. Create a bootstrap automation script to download a license file and attach the corresponding ENI to anAmazon EC2 instance.

Create a pool of ENIs. Request license files from the vendor for the pool, store the license files on an Amazon EC2 instance. Create an AMI from the instance and use this AMI for all future EC2

Create a bootstrap automation script to request a new license file from the vendor. When the response is received, apply the license file to an Amazon EC2 instance.

Edit the bootstrap automation script to read the database server IP address from the AWS Systems Manager Parameter Store. and inject the value into the local configuration files.

Edit an Amazon EC2 instance to include the database server IP address in the configuration files and re-create the AMI to use for all future EC2 instances.