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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q198-Q203):

NEW QUESTION # 198
Which of the following components is part of the Kubernetes control panel

A. kubelet
B. Service Mesh
C. Cloud control manager
D. kubectl
E. kube-proxy

Answer: C

Explanation:
https://kubernetes.io/docs/concepts/overview/components/

NEW QUESTION # 199
What is the command used to login to the pod?

A. kubectl list
B. kubectl login
C. kubectl exec
D. kubectl get

Answer: C

Explanation:
https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#exec

NEW QUESTION # 200
What standard does kubelet use to communicate with the container runtime?

A. CRI-O
B. Service Mesh Interface (SMI)
C. ContainerD
D. Container Runtime Interface (CRI)

Answer: D

Explanation:
kubelet can communicate with any runtime that supports the CRI standard.

NEW QUESTION # 201
You are setting up a CI/CD pipeline for deploying a microservices application to Kubernetes. You want to ensure that only specific developers can trigger deployments to production. Which of the following security best practices should be implemented?

A. Store the Kubernetes configuration files (Deployment, Service) in a private repository and limit access to authorized developers.
B. Configure a Kubernetes admission controller to enforce specific deployment policies.
C. Use role-based access control (RBAC) to restrict access to sensitive deployments based on user roles.
D. Implement multi-factor authentication for accessing the CIICD pipeline.
E. IJse a dedicated CI/CD server for production deployments and restrict access to the server.

Answer: B,C,D,E

Explanation:
A combination of security practices is essential: RBAC ensures granular access control, private repositories protect deployment configurations, dedicated CI/CD servers with restricted access enhance security, multi-factor authentication adds another layer of protection, and admission controllers enforce policies during deployment.

NEW QUESTION # 202
You're building a serverless application on AWS Lambd
a. How can you manage dependencies for your Lambda functions?

A. Include dependencies in the Lambda function's deployment package.
B. Install dependencies directly on the Lambda execution environment
C. Utilize AWS CodeDeploy to manage dependency updates for Lambda functions-
D. Use Docker containers to package and deploy Lambda functions with their dependencies.
E. Use AWS Lambda Layers to organize and manage dependencies for Lambda functions.

Answer: A,E

Explanation:
The most common and recommended approaches for managing dependencies in AWS Lambda are to include them in the deployment package (C) and to use AWS Lambda Layers (E). Layers allow you to organize and share dependencies across multiple Lambda functions, promoting code reusability and reducing deployment size. Docker containers (A) are not directly supported for Lambda function deployments- CodeDeploy (B) is primarily for managing deployments, not dependencies themselves. Installing dependencies directly on the Lambda execution environment (D) is not possible and can lead to conflicts.

NEW QUESTION # 203
......

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Associate KCNA Level Exam - Quiz KCNA Kubernetes and Cloud Native Associate First-grade Certification Training

Certification KCNA Training & KCNA Valid Dumps

Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q198-Q203):

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