BL0-220 Exam Dumps : Nokia Bell Labs Distributed Cloud Networks

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.

On-premise Edge Cloud and Metro Edge Cloud are the cloud deployments that provide the lowest latency. Latency is the time it takes for data to travel from the source to the destination1. On-premise Edge Cloud is a cloud deployment that is located within the premises of the end-user, such as a factory, a hospital, or a campus2. Metro Edge Cloud is a cloud deployment that is located within the same metropolitan area as the end-user, such as a city or a suburb3. Both On-premise Edge Cloud and Metro Edge Cloud reduce the distance and the number of hops that data has to travel, resulting in lower latency and higher performance4. Far Edge Cloud and Central Cloud are not the cloud deployments that provide the lowest latency. Far Edge Cloud is a cloud deployment that is located at the edge of the operator’s network, such as a regional data center or a base station3. Central Cloud is a cloud deployment that is located at the core of the operator’s network, such as a national data center or a cloud provider3. Both Far Edge Cloud and Central Cloud increase the distance and the number of hops that data has to travel, resulting in higher latency and lower performance4.

References: 1: Nokia Bell Labs Distributed Cloud Networks, Unit 1: Cloud Ecosystem, slide 3 2: Nokia Bell Labs Distributed Cloud Networks, Unit 1: Cloud Ecosystem, slide 14 3: Nokia Bell Labs Distributed Cloud Networks, Unit 1: Cloud Ecosystem, slide 15 4: Nokia Bell Labs Distributed Cloud Networks, Unit 1: Cloud Ecosystem, slide 16

The statement that best describes cloud native operations is cloud native provides operation adaptability. Cloud native operations are based on the principles of agility, resilience, and automation, which enable the cloud to adapt to changing demands and conditions12. Cloud native is not only operational by AI, nor does it rely only on network automation. AI and automation are tools that enhance the cloud native operations, but they are not the only factors that define them12. Cloud native design does not limit scalability, but rather enables it by using microservices, containers, and orchestration12. References: 1: Nokia Bell Labs Distributed Cloud Networks, Unit 4: Operating Your Cloud, slide 6 2: Nokia Bell Labs 5G Certification Program - Blended Learning, Section 2: Distributed Cloud Networks, slide 16