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
Question 17
What are the main parameters of policy-based auto-scaling? (Select 2)
Options:
A.
Threshold
B.
Min/max values
C.
Priority
D.
Description
Answer:
A, B
Explanation:
Explanation:
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
Question 18
Multitenancy in cloud computing defines?
Options:
A.
A set of cloud resources isolated from each other.
B.
A set of cloud resources shared by several customers.
C.
A set of cloud resources located in different data centers.
D.
A set of cloud resources assigned to the same network slice.
Answer:
B
Explanation:
Explanation:
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.