KCNA EXAMS | KCNA VERIFIED ANSWERS

KCNA Exams | KCNA Verified Answers

KCNA Exams | KCNA Verified Answers

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q108-Q113):

NEW QUESTION # 108
You are using a Kubernetes deployment to run a web application. You want to roll out a new version of the application with minimal downtime. Which strategy can be used to achieve this?

  • A. Recreate
  • B. BlueGreen
  • C. Canary
  • D. Immutable
  • E. RollingUpdate

Answer: B,C,E

Explanation:
RollingUpdate, BlueGreen, and Canary are all strategies that can be used to roll out new application versions with minimal downtime. RollingUpdate updates Pods one by one, ensuring that there are always healthy Pods running. BlueGreen creates two separate environments, one for the old version and one for the new version, and then switches traffic over to the new environment. Canary gradually rolls out the new version to a small subset of users before making it available to everyone. Option 'A' (Recreate) would completely stop the old Pods before creating new ones, which could lead to downtime. Option 'E' (Immutable) is not a deployment strategy for rolling out updates.


NEW QUESTION # 109
Your Kubernetes cluster is running multiple applications with varying resource requirements. You need to ensure that each application receives the resources it needs for optimal performance. Which of the following open standards is most relevant to this task?

  • A. Open Container Initiative (OCI)
  • B. Service Level Agreements (SLAs)
  • C. OpenTracing
  • D. Kubernetes Resource Quotas
  • E. Kubernetes Horizontal Pod Autoscaling (HPA)

Answer: D

Explanation:
Kubernetes Resource Quotas allow you to set limits on the resources (CPU, memory) that each application can consume within your cluster This helps ensure that no single application monopolizes resources, affecting the performance of others-


NEW QUESTION # 110
You want to configure a CI/CD pipeline to deploy a microservice to Kubernetes. Which of the following steps are essential in the pipeline?

  • A. Run automated tests
  • B. Push the container image to a registry
  • C. Build the container image
  • D. Monitor the deployed application
  • E. Apply Kubernetes configuration files (e.g., Deployment, Service)

Answer: A,B,C,E

Explanation:
All the listed steps are essential for a robust CIICD pipeline. Building the container image encapsulates your application, pushing it to a registry ensures easy access, applying Kubernetes configurations defines the deployment, and automated tests validate the application's functionality before deployment.


NEW QUESTION # 111
What are the key differences between a PersistentVolume (PV) and a PersistentVolumeClaim (PVC) in Kubernetes?

  • A. PVC is a resource that can be shared by multiple pods, while PV is always associated with a single pod
  • B. PV is a request for storage, while PVC represents the actual storage provisioned.
  • C. PV represents a request for storage, while PVC represents the actual storage provisioned.
  • D. PV is a persistent storage resource defined in Kubernetes while PVC is a request for a PV by a pod or application.
  • E. PVC is a resource that can be shared by multiple pods, while PV is always associated with a single pod

Answer: D

Explanation:
PVs are persistent storage resources defined in Kubernetes that can be used to provision storage to pods. PVCs are requests for a PV by a pod or application, specifying the required storage size, access modes, and other attributes. PVs can be shared among multiple pods, but each pod needs a PVC to access the PV.


NEW QUESTION # 112
You are running a database service in Kubernetes with a HorizontalPodAutoscaler (HPA) configured. The HPA is set to scale based on CPU utilization. However, you notice that the database often experiences spikes in CPU usage that cause the HPA to scale up unnecessarily. How can you refine the HPA configuration to avoid these unnecessary scaling events?

  • A. Implement a caching layer to reduce the database load.
  • B. Configure the HPA to scale down the database only when CPU utilization drops below a certain threshold for a specific duration.
  • C. Use a custom metric, such as database connection count, to trigger scaling events.
  • D. Increase the CPU utilization threshold for scaling up to a higher value.
  • E. Use a combination of options A and D to fine-tune the HPA behavior.

Answer: B,C,D,E

Explanation:
Several approaches can be used to refine the HPA configuration. Increasing the CPU utilization threshold (A) prevents scaling for minor spikes. Using a custom metric like database connection count (B) provides a more accurate measure of database load. Configuring the HPA to scale down only after a sustained drop in CPU utilization (D) avoids over-reacting to temporary spikes. Combining these techniques (E) can further refine the HPA behavior.


NEW QUESTION # 113
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The study material is available in three formats, i.e. PDF format, web-based practice exam, and desktop practice test software. The PDF format is easy for those who always have their smart devices and love to study from them. Users can also make notes of printed PDF Linux Foundation Kubernetes and Cloud Native Associate certification exam so they can study them anywhere to pass Linux Foundation KCNA Certification test with a good score.

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