Multitenancy in cloud computing defines a set of cloud resources shared by several customers. Multitenancy is a feature of cloud computing that allows multiple customers, or tenants, to use the same cloud infrastructure and services, such as servers, storage, network, and applications, while maintaining their own data and configuration. Multitenancy enables cloud providers to optimize the utilization and allocation of cloud resources, reduce the cost and complexity of cloud operations, and offer scalable and flexible services to different customers. Multitenancy also benefits customers by providing them with on-demand access to cloud resources, pay-per-use pricing models, and enhanced security and isolation. The other options are not correct definitions of multitenancy in cloud computing. A set of cloud resources isolated from each other is a single-tenant model, where each customer has its own dedicated cloud infrastructure and services. A set of cloud resources located in different data centers is a distributed cloud model, where cloud resources are spread across multiple physical locations to provide low latency, high availability, and local compliance. A set of cloud resources assigned to the same network slice is a network slicing model, where a logical network is created over a sharedphysical network to support specific applications and customers with customized performance, quality, and security. References: Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, Section 2.2: Cloud Characteristics.

The approximate maximum distance of an Edge Cloud from the end-user is 300KM. Edge Cloud is a type of cloud deployment that brings cloud resources closer to the end-user, reducing latency and improving performance1. Edge Cloud can be located at various distances from the end-user, depending on the use case and the network topology2. However, the general range of distance for Edge Cloud is between 10KM and 300KM3. 10000KM, 5000KM, and 10Q0KM are too far to be considered as Edge Cloud, as they would introduce significant delays and inefficiencies in the network.

References: 1: Nokia Bell Labs Distributed Cloud Networks, Unit 1: Cloud Ecosystem, slide 4 2: Nokia Bell Labs Distributed Cloud Networks, Unit 1: Cloud Ecosystem, slide 15 3: Nokia Bell Labs Distributed Cloud Networks, Unit 1: Cloud Ecosystem, slide 16

 Hyperscale computing relies on scalable server architecture. This is true because hyperscale computing is a type of cloud computing that aims to provide massive scalability, performance, and efficiency for large-scale applications and data processing1. Hyperscale computing requires a scalable server architecture that can support thousands or millions of servers that are interconnected by high-speed networks2. Scalable server architecture enables hyperscale computing to handle increasing workloads, optimize resource utilization, and reduce operational costs3. References: 1: Nokia Bell Labs Distributed Cloud Networks, Unit 4: Operating Your Cloud, Section 4.1: Industry Trends in Data Center Hardware 2: How Nokia Bell Labs’ new serverless computing design will take cloud computing to the next level4 3: Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks1

Latency, Privacy and Capacity are the three key drivers required for video-based service in on-premise cloud. Latency refers to the delay between the source and the destination of a video stream, which affects the quality of experience for the end-users. Privacy refers to the protection of the video content and the user data from unauthorized access or leakage. Capacity refers to the ability of the network and the cloud to handle the high bandwidth and storage demands of video applications. On-premise cloud is a cloud deployment model where the cloud infrastructure is located within the enterprise premises, and is managed by the enterprise or a third-party service provider. On-premise cloud can offer lower latency, higher privacy and greater capacity for video-based service than public cloud, which is located outside the enterprise premises and is shared by multiple tenants. References: Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, Section 2.3: Cloud Deployment Models.

The available options to interconnect private Datacenters are VPN and Backbone. VPN stands for Virtual Private Network, which is a secure and encrypted connection between two or more networks over the public internet. Backbone is a high-capacity network that connects different data centers across regions or countries. Both VPN and Backbone provide reliable, scalable, and secure data center interconnect (DCI) solutions for private/hybrid clouds. References: Nokia Cloud DCI offers a more scalable, reliable and secure way to connect data centers in private/hybrid clouds, Nokia business-critical cloud DCI solutions support multiple DCI applications, from real-time business continuity and disaster recovery, to synchronous data replication and cloud backup, Nokia partners with IP Telecom to deliver quantum-safe data center connectivity

 A group of small services combine to deliver user specific service is a true statement. This is the definition of microservices, which are a key component of cloud technologies and features. Microservices are independent, modular, and scalable services that communicate with each other through APIs. They enable faster and easier development, deployment, and maintenance of cloud applications.

References:

• Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks | Nokia Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, slide 6
• Nokia Bell Labs 5G Certification Program - Courses | Nokia, Distributed Cloud Networks, Unit 2: Cloud Technologies and Features

Security as a Service and Software as a Service are two examples of SaaS in a cloud deployment. Security as a Service is a model where security services such as firewall, antivirus, encryption, etc. are delivered over the Internet by a cloud provider1. Software as a Service is a model where software applications such as email, CRM, ERP, etc. are hosted and managed by a cloud provider and accessed by users over the Internet2. Stack as a Service and Service as a Service are not valid terms for SaaS in a cloud deployment. Stack as a Service is a typo for Stack Overflow, a popular online platform for developers3. Service as a Service is a redundant and meaningless term that does not describe any cloud service model4. References: 1: Nokia Bell Labs Distributed Cloud Networks, Unit 1: Cloud Ecosystem, Section 1.3: Cloud Service Models 2: Nokia Bell Labs Distributed Cloud Networks, Unit 1: Cloud Ecosystem, Section 1.3: Cloud Service Models 3: Stack Overflow 4: What is Service as a Service (SaaS)?

SaaS within cloud computing primarily stands for Software as a Service, which delivers software applications over the internet on a subscription basis. It allows users to connect to and use cloud-based apps over the Internet, such as email, calendaring, and office tools (like Microsoft Office 365). Security as a Service (SECaaS) is an outsourcing model for security management. Typically, businesses utilize this service for functions like anti-virus software, intrusion detection,and authentication. SECaaS is also considered a type of SaaS where security services are delivered remotely via the internet. Therefore, both Software as a Service and Security as a Service are correct answers, emphasizing the diversity of services provided through the SaaS model beyond just software applications.