100% PASS QUIZ 2025 LINUX FOUNDATION KCNA PERFECT PRACTICE MOCK

100% Pass Quiz 2025 Linux Foundation KCNA Perfect Practice Mock

100% Pass Quiz 2025 Linux Foundation KCNA Perfect Practice Mock

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Tags: Practice KCNA Mock, KCNA Reliable Real Test, Exam KCNA Overviews, KCNA Lead2pass, KCNA Reliable Dumps Book

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Linux Foundation KCNA exam is an online, proctored exam that can be taken from anywhere in the world. KCNA exam consists of 40 multiple-choice questions and must be completed within 90 minutes. KCNA exam is designed to be challenging, but fair, and is intended to test the candidate's knowledge and understanding of Kubernetes and cloud-native technologies.

Linux Foundation KCNA Exam is a certification program that validates an individual’s knowledge of Kubernetes and cloud-native technologies. KCNA Exam is designed to be challenging and is suitable for IT professionals who are interested in working with these technologies. Kubernetes and Cloud Native Associate certification is recognized by leading companies in the tech industry and can help individuals advance their career and increase their earning potential. Candidates are encouraged to prepare thoroughly before attempting the exam to ensure success.

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You can even print the study material and save it in your smart devices to study anywhere and pass the Kubernetes and Cloud Native Associate (KCNA) certification exam. The second format, by PrepAwayExam, is a web-based KCNA practice exam that can be accessed online through browsers like Firefox, Google Chrome, Safari, and Microsoft Edge. You don't need to download or install any excessive plugins or Software to use the web-based software.

Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q140-Q145):

NEW QUESTION # 140
What kind of limitation cgroups allows?

  • A. Server cpu and memory
  • B. None of the options
  • C. Control
  • D. Accounting
  • E. Resource limiting
  • F. Prioritization

Answer: C,D,E,F


NEW QUESTION # 141
You have a Kubernetes cluster with a deployment named 'my-app' that has a replica count of 3. You need to temporarily scale it down to 1 replica. Which command would you use?

  • A. kubectl patch deployments my-app -type=json-patch='{"spec":{"replicas":1}}'
  • B. kubectl apply -f my-app-deployment.yaml --replicas=1
  • C. kubectl scale deployments my-app -replicas=1
  • D. kubectl edit deployment my-app -replicas=1
  • E. kubectl set scale deployments my-app -replicas=1

Answer: C,E

Explanation:
Both 'kubectl scale deployments my-app -replicas=l' and 'kubectl set scale deployments my- app --replicas=1' are valid commands to scale down the deployment. Option 'C' also works but it is more verbose. Option 'B' would edit the deployment configuration, which is not the desired outcome in this case. Option 'E' would apply a new configuration, which is also not ideal.


NEW QUESTION # 142
You are building a CI/CD pipeline to deploy a Java application to Kubernetes. The application requires a specific Java version and some libraries to run correctly. How would you ensure that the correct runtime environment is available in the Kubernetes cluster?

  • A. Use Kubernetes Secrets to store the Java version and library information securely.
  • B. Use Kubernetes Init Containers to install the required dependencies before starting the main container.
  • C. Pre-install the Java version and libraries on the Kubernetes nodes.
  • D. Use Kubernetes ConfigMaps to define the environment variables for Java and libraries.
  • E. Include the necessary Java version and libraries in the Dockerfile for the application image.

Answer: B,E

Explanation:
The most common approaches are to include the required Java and libraries within the Dockerfile to create a self-contained image, or to use Kubernetes Init Containers. Init containers run before the main application container, installing the dependencies, ensuring the proper runtime environment is available.


NEW QUESTION # 143
Which access control component of Kubernetes is responsible for authorization and decides what requestor is allowed to do?

  • A. Service Account
  • B. Role-based access control 'RBAC'
  • C. Deployment

Answer: B

Explanation:
https://kubernetes.io/docs/reference/access-authn-authz/authorization/


NEW QUESTION # 144
You're running a stateful application in Kubernetes with a HorizontalPodAutoscaler (HPA) configured. You want to ensure that scaling does not disrupt the application's state. What approach would you take to address this concern?

  • A. Implement a custom scaling logic that ensures state persistence during scaling events.
  • B. Use a StatefulSet to manage the deployment of the application.
  • C. Disable scaling for the application to maintain state consistency.
  • D. Use a persistent volume claim (PVC) to store the application's state.
  • E. Configure the HPA to scale up and down only when the application is idle.

Answer: A,B,D

Explanation:
Several approaches can help maintain state during scaling for stateful applications: StatefulSets (A) manage stateful applications by providing persistent storage and stable network identities for Pods- Custom scaling logic (C) allows you to implement specific scaling strategies that preserve state, such as graceful shutdowns and data synchronization. Persistent volume claims (PVCs) (D) ensure that the application's data is stored on persistent volumes, preserving it even during scaling events. While options B and E might seem appealing, they are not practical solutions. Scaling during idle periods might not cover all scenarios, and disabling scaling altogether eliminates the benefits of autoscaling.


NEW QUESTION # 145
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