Nokia BL0-220 Nokia Bell Labs Distributed Cloud Networks Exam Practice Test

Answer : A

A Policy Database is a key component in Closed Loop Automation. It stores the policies that govern the automated decision-making processes within a system. These policies define the actions to be taken in response to specific events or conditions, enabling the system to automatically adjust its operations without human intervention, thus increasing efficiency and responsiveness.

Answer : B

Low latency is the mandatory key driver to consider for Cloud RAN/vRAN deployment. Cloud RAN stands for Cloud Radio Access Network, which is a network architecture that centralizes the baseband processing of multiple radio sites in a cloud platform. vRAN stands for virtualized RAN, which is a network architecture that implements the baseband processing as software functions running on virtual machines or containers in a cloud platform. Both Cloud RAN and vRAN aim to improve the performance, efficiency, and flexibility of the radio access network by leveraging cloud technologies. Low latency refers to the minimal delay between the source and the destination of a data transmission, which affects the quality of service and user experience for various applications. Low latency is a critical requirement for Cloud RAN/vRAN deployment, as it ensures the timely and reliable delivery of radio signals between the centralized cloud platform and the distributed radio sites. Low latency also enables Cloud RAN/vRAN to support new 5G use cases that demand ultra-reliable and low-latency communications, such as autonomous driving, remote surgery, and industrial automation.Reference:Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks, Unit 3: Cloud Resource Planning, Section 3.2: Cloud RAN/vRAN.

Low latency is a mandatory key driver for Cloud RAN/vRAN deployment due to the stringent requirements of real-time communication and processing in radio access networks. Low latency ensures that data transmission and processing occur with minimal delay, which is crucial for supporting high-speed, reliable communication necessary in modern wireless networks, especially with the advent of 5G technologies.

Answer : B

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, load balancing, storage management, and self-healing3.Therefore, option B best describes Kubernetes, while options A, C, and D are incorrect.Reference:1:Nokia Bell Labs Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, Topic: Microservices and Containerization2:What is Kubernetes? | Kubernetes, Overview3:Kubernetes - an overview | ScienceDirect Topics, Overview

Answer : C

Physical Network Functions (PNFs) are the traditional network functions that run on dedicated hardware appliances, such as routers, switches, firewalls, etc1.Virtual Network Functions (VNFs) are the network functions that run on virtual machines (VMs) on top of a common hardware platform, such as servers, storage, and network1.Cloud-Native Network Functions (CNFs) are the network functions that run on containers orchestrated by Kubernetes on a cloud infrastructure1.The evolution of Network Functions reflects the trend of moving from hardware-centric to software-centric and cloud-based solutions, which offer more flexibility, scalability, and efficiency12.Reference:1:Nokia Bell Labs Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, slide 182:Nokia Bell Labs 5G Certification Program - Blended Learning, Section 2: Distributed Cloud Networks, slide 11

Answer : B

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 shared physical network to support specific applications and customers with customized performance, quality, and security.Reference:Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, Section 2.2: Cloud Characteristics.

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

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