BL0-220 Exam Dumps - Nokia Certification Questions and Answers

 Distributed cloud is a concept that refers to the deployment of cloud services across multiple locations, such as public, private, hybrid, or edge clouds1. Cloud options are the different types of cloud models that can be used to meet the specific needs and requirements of different applications and users2. Cloud options are complementary with distributed cloud, as they enable the flexibility and scalability of cloud services across the cloud continuum3. Therefore, option B is the correct statement, while options A and C are incorrect. References: 1: Nokia Bell Labs Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, Topic: Distributed Cloud Description 2: Nokia Bell Labs Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, Topic: Cloud Options 3: Cloud continuum | Nokia, Overview

 Scalability and Openness are the focus of an agile data center. Scalability refers to the ability of a data center to adapt to changing demands and workloads by adding or removing resources dynamically. Openness refers to the use of open standards and interfaces that enable interoperability and integration of different technologies and vendors in a data center. An agile data center can provide flexible, efficient, and cost-effective services to customers and applications, while reducing operational complexity and overhead. Fixed Architecture and Closed Cloud System are not the focus of an agile data center. Fixed Architecture means a rigid and predefined structure of a data center that cannot be easily modified or customized. Closed Cloud System means a proprietary and isolated cloud platform that does not support compatibility or collaboration with other cloud platforms or services. A fixed architecture and a closed cloud system can limit the performance, functionality, and innovation of a data center, and increase the dependency and lock-in of customers and applications. References: Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks, Unit 1: Cloud Ecosystem, Section 1.3: Cloud Agility.

Containers as a Service (CaaS) is the same as the E2E Orchestrator for VMs for containers. CaaS is a cloud service model that allows users to deploy and manage containerized applications on a cloud platform. CaaS provides the necessary infrastructure, orchestration, networking, and security for running containers. The E2E Orchestrator for VMs is a Nokia solution that provides similar capabilities for virtual machines (VMs). The E2E Orchestrator for VMs enables the creation, deployment, and management of VMs on a distributed cloud platform. It also supports network slicing, security, and automation features.

References:

• Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, slide 19
• Nokia Cloud Platform, paragraph 1
• Nokia Bell Labs End-to-End 5G Certification, page 4

Network Service Orchestration is the process of managing the lifecycle of network services across multiple domains and technologies. It automates NFV service bydeploying, configuring, and scaling virtual network functions (VNFs) on demand. It is part of the 5G key enablers because it supports the dynamic and flexible provisioning of network slices and edge cloud applications. It does not increase operational complexity, but rather simplifies and optimizes it by using AI/ML and closed loop automation.

References:

• Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks | Nokia Distributed Cloud Networks, Unit 4: Operating Your Cloud, slide 8
• Nokia Bell Labs 5G Certification Program - Courses | Nokia, Distributed Cloud Networks, Unit 4: Operating Your Cloud

 Security is crucial for data centers and their users because data centers store, process, and transmit large amounts of sensitive and valuable data for various organizations and individuals. Data centers face various security threats such as cyberattacks, natural disasters, human errors, power outages, etc. that can compromise the confidentiality, integrity, and availability of the data and the services1. Therefore, data centers need to implement various security measures such as encryption, authentication, authorization, backup, firewall, antivirus, physical security, etc. to protect the data and the users from unauthorized access, data loss, data corruption, service disruption, etc2. References: 1: Nokia Bell Labs Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, Section 2.3: Cloud Networking Features 2: Data Center Security: What You Need to Know

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

The main parameters of policy-based auto-scaling are threshold and min/max values. Threshold is the value of a metric that triggers the scaling action, such as CPU utilization or memory usage1. Min/max values are the minimum and maximum number of instances or resources that can be scaled up or down1. Priority and description are not parameters of policy-based auto-scaling. Priority is the order of execution of policies in case of conflicting or overlapping conditions2. Description is the optional text that provides additional information about the policy2. References: 1: Nokia Bell Labs Distributed Cloud Networks, Unit 4: Operating Your Cloud, slide 24 2: Nokia CloudBand Application Manager User Guide, Chapter 9: Scaling Policies, page 151

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.