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Linux Foundation Kubernetes and Cloud Native Associate (KCNA) Certification Exam is a highly regarded certification that demonstrates an individual's understanding of Kubernetes and cloud-native technologies. The KCNA certification exam is designed to test a candidate's knowledge of Kubernetes architecture, deployment, and maintenance, as well as the fundamental concepts of cloud-native computing. Kubernetes and Cloud Native Associate certification is valuable for individuals who want to validate their skills in Kubernetes and cloud-native technologies, such as cloud engineers, DevOps engineers, software developers, and system administrators.

Linux Foundation KCNA certification is a valuable credential for IT professionals who want to demonstrate their expertise in cloud-native technologies. With a wide range of study resources available and a vendor-neutral approach, the exam is an attractive option for professionals who work with different cloud platforms and want to showcase their skills in a way that is recognized across the industry.

The KCNA Certification Exam is a performance-based test that evaluates a candidate's ability to solve real-world problems using Kubernetes and cloud-native technologies. KCNA exam consists of a series of hands-on tasks that require candidates to demonstrate their proficiency in deploying, managing, and scaling Kubernetes clusters, as well as their knowledge of related technologies like containerization, microservices, and service meshes. KCNA exam is conducted online and can be taken from anywhere in the world. Kubernetes and Cloud Native Associate certification is valid for two years, after which individuals must renew their certification by passing a recertification exam or earning a higher-level certification.

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q77-Q82):

NEW QUESTION # 77
Which project is not a dominant CNCF project in the storage landscape?

  • A. TiKV
  • B. Envoy
  • C. Rook
  • D. Vitess

Answer: B

Explanation:
https://github.com/cncf/landscape#trail-map


NEW QUESTION # 78
You have a Kubernetes cluster running on AWS. You want to configure a persistent volume claim (PVC) that uses an AWS EBS volume for storage. Which annotation can be used to specify the EBS volume type?

  • A. volume.beta.kubernetes.io/aws-ebs-volume-encrypted
  • B. volume.beta.kubernetes.io/aws-ebs-volume-type
  • C. volume.beta.kubernetes.io/storage-provisioner
  • D. volume.beta.kubernetes.io/aws-ebs-volume-size
  • E. volume.beta.kubernetes.io/storage-class

Answer: B

Explanation:
The annotation •volume.beta.kubernetes.io/aws-ebs-volume-type• is used to specify the EBS volume type (e.g., 'gp2 , 701', 'standard') when using an AWS EBS volume for persistent storage. Option 'A' is used to specify the storage class for the PVC. Option 'B' specifies the storage provisioner, which is responsible for creating the volume. Option 'D' is used to specify the size of the EBS volume. Option 'E' is for specifying whether the EBS volume should be encrypted.


NEW QUESTION # 79
You're designing a serverless application that processes large amounts of data using AWS Lambd
a. You need to ensure that your Lambda functions can handle potential spikes in workload without compromising performance. Which of the following approaches would be most effective in achieving this goal?

  • A. Configure Lambda functions to use a larger memory allocation.
  • B. Utilize AWS Elastic Beanstalk to auto-scale Lambda functions based on workload.
  • C. Use serverless frameworks like AWS Serverless Application Model (SAM) to manage Lambda deployments.
  • D. Implement a message queue in front of Lambda functions to buffer incoming requests.
  • E. Enable concurrency settings for Lambda functions to allow multiple invocations simultaneously.

Answer: D,E

Explanation:
The most effective approaches to handle workload spikes are implementing a message queue (like SQS or SNS) to buffer requests and enabling concurrency settings on Lambda functions. Option A increases memory but doesn't address scalability. Option C is not relevant to Lambda auto-scaling. Option D is a deployment tool, not directly related to handling workload spikes. Option E directly enables parallel processing, making it a suitable solution.


NEW QUESTION # 80
How would you return all the pod data in the json format using kubectl command?

  • A. kubectl get pods -o jsonpath
  • B. kubectl get pods --all-namspaces
  • C. kubectl get pods -o json
  • D. kubectl get pods -o wide

Answer: C

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


NEW QUESTION # 81
What is not semantic versioning?

  • A. 1.0.0-alpha
  • B. 2022-05-04
  • C. 1.0.0
  • D. 1.0.0-beta.2

Answer: B

Explanation:
https://semver.org/
RegEx SemVer at https://regex101.com/r/vkijKf/1/


NEW QUESTION # 82
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