BL0-220 Dumps with Practice Exam Questions Answers

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

A data center manager is responsible for overseeing the operation, maintenance, and security of a data center, as well as planning and implementing changes and improvements1. To perform these tasks, a data center manager needs to have appropriate tools that can monitor, control, and automate the data center resources, such as servers, storage, network, power, cooling, etc.2. A data center manager also needs to enable people, such as data center staff, engineers, technicians, and customers, to access, use, and manage the data center services and applications3. Moreover, a data center manager needs to follow an effective process methodology that can ensure the quality, efficiency, and reliability of the data center operations, such as ITIL, DevOps, Agile, etc… References: 1: Data Center Manager: Roles, Responsibilities, and Skills, Introduction 2: Nokia Bell Labs Distributed Cloud Networks, Unit 4: Operating Your Cloud, Section 4.1: Industry Trends in Data Center Hardware 3: Nokia Bell Labs Distributed Cloud Networks, Unit 4: Operating Your Cloud, Section 4.2: Data Center Operations : Nokia Bell Labs Distributed Cloud Networks, Unit 4: Operating Your Cloud, Section 4.3: Data Center Management Methodologies

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.

Kubernetes is an orchestrator, which is a software system that automates the deployment, scaling, and management of containerized applications1. Kubernetes allows users to define the desired state and configuration of their applications, and then ensures that the actual state matches the desired state2. Kubernetes also provides features such as service discovery, loadbalancing, storage management, and self-healing3. Therefore, option B best describes Kubernetes, while options A, C, and D are incorrect. References: 1: Nokia Bell Labs Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, Topic: Microservices and Containerization 2: What is Kubernetes? | Kubernetes, Overview 3: Kubernetes - an overview | ScienceDirect Topics, Overview

Service automation and network automation are two techniques that provide the benefit of faster deployment. Service automation is the process of using software tools and predefined workflows to create, configure, and manage cloud services without human intervention1. Network automation is the process of using software tools and predefined policies to orchestrate, monitor, and optimize network resources and functions without human intervention2. Both techniques can reduce the time, cost, and errors associated with manual service deployment and configuration, and enable faster and more agile service delivery and network operations3. Manual service deployment and manual configuration are not techniques that provide the benefit of faster deployment, as they require human intervention and are prone to human errors, delays, and inefficiencies4. References: 1: Nokia Bell Labs Distributed Cloud Networks, Unit 5: New Services Automation, Section 5.2: Service Automation 2: Nokia Bell Labs Distributed Cloud Networks, Unit 4: Operating Your Cloud, Section 4.2: Network Automation 3: Nokia, A1 and Microsoft deploy industry’s first 5G edge cloud network slicing solution for enterprises 4: Nokia Bell Labs Distributed Cloud Networks, Unit 5: New Services Automation, Section 5.3: Service Automation Benefits and Challenges