AUTHORITATIVE PASS4SURE KCNA STUDY MATERIALS - PASS KCNA IN ONE TIME - COMPLETE KCNA RELIABLE BRAINDUMPS EBOOK

Authoritative Pass4sure KCNA Study Materials - Pass KCNA in One Time - Complete KCNA Reliable Braindumps Ebook

Authoritative Pass4sure KCNA Study Materials - Pass KCNA in One Time - Complete KCNA Reliable Braindumps Ebook

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Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Exam is a certification program designed for professionals who want to validate their knowledge and skills in the field of cloud computing and containerization. KCNA exam is aimed at individuals who want to demonstrate their proficiency in Kubernetes, a popular container orchestration system, and other cloud-native technologies.

The Linux Foundation KCNA Exam covers a wide range of topics related to cloud native computing, such as containerization, microservices, and orchestration. It also tests candidates on their understanding of Kubernetes architecture, deployment, and management. KCNA exam is comprised of 50 multiple choice questions and candidates have 90 minutes to complete it.

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q195-Q200):

NEW QUESTION # 195
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. Use serverless frameworks like AWS Serverless Application Model (SAM) to manage Lambda deployments.
  • C. Enable concurrency settings for Lambda functions to allow multiple invocations simultaneously.
  • D. Implement a message queue in front of Lambda functions to buffer incoming requests.
  • E. Utilize AWS Elastic Beanstalk to auto-scale Lambda functions based on workload.

Answer: C,D

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 # 196
What can you use to add new resource types to your cluster?

  • A. CustomResourceDefinitions
  • B. CRI-O
  • C. Flux
  • D. start container
  • E. init container

Answer: A

Explanation:
https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/


NEW QUESTION # 197
Your application requires specific network configurations for its pods, including custom DNS settings and network namespaces. How can you achieve this in Kubernetes?

  • A. Create a custom network plugin and integrate it with Kubernetes-
  • B. Use a DaemonSet to deploy a network configuration agent on each node.
  • C. Use a NetworkPolicy to define custom network rules for the pods.
  • D. Configure a Pod's security context with specific network settings.
  • E. Modify the Kubernetes API server's network configuration settings.

Answer: A

Explanation:
The correct answer is 'Create a custom network plugin and integrate it with Kubernetes'. Kubernetes allows you to extend its networking functionality by developing and integrating custom network plugins. These plugins can provide advanced network configurations, including custom DNS settings, network namespaces, and other specific network requirements. Options A, B, C, and E are not suitable for this scenario. 'NetworkPolicy' is used for network access control, 'Pod security context' defines security settings for a pod, 'DaemonSet' is used for deploying agents on nodes, and modifying the API server's network settings can affect the entire cluster's network configuration.


NEW QUESTION # 198
What is the purpose of the 'nodeSelector" field in a Pod's YAML definition?

  • A. To specify the pod's termination grace period.
  • B. To define the pod's image pull policy (Always, IfNotPresent, Never).
  • C. To specify the exact number of replicas for the pod.
  • D. To define the pod's restart policy (Always, OnFailure, Never).
  • E. To restrict the pod's scheduling to nodes with specific labels.

Answer: E

Explanation:
The •nodeSelectors field allows you to specify labels that the node must have in order for the pod to be scheduled on it. This provides a way to control where pods are placed based on node characteristics or roles.


NEW QUESTION # 199
Consider the following Kubernetes YAML file representing a deployment:

What is the primary benefit of using a GitOps approach to manage this deployment compared to traditional methods?

  • A. GitOps enhances security by preventing unauthorized changes to the Kubernetes cluster.
  • B. GitOps automates the deployment process, eliminating the need for human intervention.
  • C. GitOps simplifies the process of managing complex Kubernetes deployments by providing a centralized repository for configuration.
  • D. GitOps enables easy rollbacks to previous deployments by leveraging the versioning capabilities of Git.
  • E. GitOps provides faster deployment times by eliminating the need for manual interventions.

Answer: D

Explanation:
GitOps leverages Git's version control system, providing a history of changes to your cluster's configuration. This enables easy rollbacks to previous deployments by simply reverting to a specific commit in the Git repository, making it easier to recover from errors or unwanted changes.


NEW QUESTION # 200
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