Nokia Bell Labs Distributed Cloud Networks BL0-220 Exam Questions

Answer : A

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.Reference:1: Nokia Bell Labs Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, Section 2.3: Cloud Networking Features2:Data Center Security: What You Need to Know

Answer : B

A YAML XML template file contains the configuration of a VNF or CNF. A VNF stands for Virtual Network Function, which is a software-based network function that runs on a virtual machine or a container. A CNF stands for Cloud-native Network Function, which is a network function that is designed and implemented using cloud-native principles and technologies, such as microservices, containers, and Kubernetes. A YAML XML template file is a file that defines the structure, parameters, and dependencies of a VNF or CNF, as well as the resources and policies required to deploy and manage it. A YAML XML template file is based on the TOSCA (Topology and Orchestration Specification for Cloud Applications) standard, which is a language for describing the components and relationships of complex cloud applications. A YAML XML template file is used by the MANO (Management and Orchestration) system to instantiate, configure, and operate a VNF or CNF on the cloud infrastructure.Reference:Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, Section 2.4: Cloud Software and Hardware Resources.

Answer : B, C

Habana and EyeQ are two examples of AI hardware solutions that are designed to accelerate deep learning and computer vision applications.Habana is a company that produces AI processors for both training and inference workloads1.EyeQ is a family of system-on-chips (SoCs) developed by Mobileye for advanced driver-assistance systems (ADAS) and autonomous driving2. DataLake and Sparks are not AI hardware solutions.DataLake is a term that refers to a large-scale data storage architecture that can store structured, semi-structured, and unstructured data from various sources3.Sparks is a misspelling of Spark, which is an open-source distributed computing framework for large-scale data processing and machine learning4.Reference:1: Nokia Bell Labs Distributed Cloud Networks, Unit 4: AI/ML in Cloud Networks, Section 4.2: AI Hardware2: Nokia Bell Labs Distributed Cloud Networks, Unit 4: AI/ML in Cloud Networks, Section 4.2: AI Hardware3: Nokia Bell Labs Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, Section 2.4: Cloud Storage4: Nokia Bell Labs Distributed Cloud Networks, Unit 4: AI/ML in Cloud Networks, Section 4.3: AI Software

Answer : B

The Management Plane is the logical layer of a network that provides network management and control functions, such as configuration, monitoring, fault detection, performance analysis, and security1.The Management Plane interacts with the Control Plane and the Data Plane, which are responsible for traffic routing and forwarding, respectively2.The Management Plane also supports the orchestration and automation of network services across the distributed cloud3.Therefore, option B best describes the Management Plane, while options A and C are incorrect.Reference:1:Nokia Bell Labs Distributed Cloud Networks, Unit 4: Operating Your Cloud, Topic: Management Plane2:Module by Module - Self Study Note Guide, DC4.1-- Industry Trends in Data Center Hardware3:Nokia Bell Labs Distributed Cloud Networks, Unit 5: New Services Automation, Topic: Management and Orchestration

Answer : A, B

The main parameters of policy-based auto-scaling arethresholdandmin/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.Reference:1:Nokia Bell Labs Distributed Cloud Networks, Unit 4: Operating Your Cloud, slide 242:Nokia CloudBand Application Manager User Guide, Chapter 9: Scaling Policies, page 151

Answer : A, C

The characteristics of traditional monolithic services are low scalability and fixed capacity. Monolithic services are applications that are built as a single unit, where all the components are tightly coupled and run in the same process. This makes them hard to scale, as they require more resources and coordination to handle increased demand. Monolithic services also have fixed capacity, as they are designed for a specific workload and cannot adapt to changing requirements or traffic patterns. Monolithic services are often slow to deploy, as they require updating the entire application for any change or improvement.Reference: [Cloud Native applications design], [Microservices and Containerization]

Answer : B, C, D

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...Reference:1:Data Center Manager: Roles, Responsibilities, and Skills, Introduction2:Nokia Bell Labs Distributed Cloud Networks, Unit 4: Operating Your Cloud, Section 4.1: Industry Trends in Data Center Hardware3: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