Nokia BL0-220 Practice Test - Questions Answers, Page 2

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.

The two main options to interconnect private and public clouds are VPN and WAN. VPN stands for Virtual Private Network, which is a secure and encrypted connection between two or more networks over the public internet. VPN allows private and public clouds to communicate with each other without exposing their data or traffic to third parties. WAN stands for Wide Area Network, which is a network that spans a large geographic area, such as a country or a continent. WAN allows private and public clouds to interconnect across different regions or locations, using high-speed and high-capacity links. Both VPN and WAN provide reliable, scalable, and flexible solutions for hybrid cloud scenarios, where private and public clouds work together to deliver optimal performance and efficiency.Reference:Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks,Cloud Data Center Interconnect for Large Enterprises,5G Core on cloud: go public, private or a bit of both?

The ''Stateless'' service concept is indeed the most efficient for resource usage. In a stateless architecture, each request is treated as an independent transaction, unconnected to any previous request. This means that no state information is stored between transactions, which simplifies the design and scalability of systems. It allows for better resource utilization because there is no need to maintain state information over time, which can be resource-intensive. This approach aligns with the principles of RESTful services and is widely adopted in scalable web applications.

Your apps need cloud resources which are allocated and then provisioned.Allocation is the process of assigning cloud resources to a specific app or service, based on the requirements and availability1.Provisioning is the process of configuring and activating the allocated cloud resources, making them ready to use by the app or service2. Commissioning, instantiation, starting, and distribution are not the correct terms to complete the sentence.Commissioning is the process of testing and verifying the cloud resources before they are allocated3.Instantiation is the process of creating an instance of an app or service, which is a running copy of the app or service that uses the provisioned cloud resources4. Starting is the process of launching an instance of an app or service, which can be done manually or automatically. Distribution is the process of spreading the cloud resources across different locations or domains, to achieve scalability, redundancy, or performance. Termination is the process of deleting or releasing the cloud resources that are no longer needed by the app or service.

The 5G Core control plane is responsible for managing the network functions, services, and resources, such as authentication, authorization, session management, policy control, mobility management, etc.1.The 5G Core control plane can be deployed in a distributed cloud architecture, which consists of different cloud layers that have different characteristics and roles2.The Metro Edge Cloud is a cloud layer that is located near the access network, and provides low latency, high bandwidth, and local processing for the control plane functions3.The Core/Central Cloud is a cloud layer that is located in the core network, and provides high availability, scalability, and security for the control plane functions4.The distributed cloud architecture enables the 5G Core control plane to optimize the network performance, efficiency, and flexibility, and to support various use cases and applications.Reference:1:Nokia Bell Labs Distributed Cloud Networks, Unit 1: Cloud Ecosystem, Section 1.2: Cloud Architecture2:Nokia Bell Labs Distributed Cloud Networks, Unit 1: Cloud Ecosystem, Section 1.3: Distributed Cloud3:Nokia Bell Labs Distributed Cloud Networks, Unit 3: Cloud Resource Planning, Section 3.2: Cloud Resource Planning for Distributed Cloud4:Nokia Bell Labs Distributed Cloud Networks, Unit 3: Cloud Resource Planning, Section 3.3: Cloud Resource Planning for Central Cloud :Nokia Bell Labs Distributed Cloud Networks, Unit 5: New Services Automation, Section 5.1: Distributed Cloud Services Automation

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

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.

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

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]