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CKA Free Practice, Free CKA Study Material

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The Certified Kubernetes Administrator (CKA) Program Certification Exam is an industry-leading certification program offered by the Linux Foundation. Certified Kubernetes Administrator (CKA) Program Exam certification is designed for IT professionals who want to demonstrate their expertise in Kubernetes, an open-source container orchestration platform. Kubernetes has become the de facto standard for container orchestration, and organizations around the world are hiring professionals who are proficient in Kubernetes to manage their containerized workloads.

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2Pass4sure Certified Kubernetes Administrator (CKA) Program Exam (CKA) practice test has real Certified Kubernetes Administrator (CKA) Program Exam (CKA) exam questions. You can change the difficulty of these questions, which will help you determine what areas appertain to more study before taking your Linux Foundation CKA Exam Dumps. Here we listed some of the most important benefits you can get from using our Linux Foundation CKA practice questions.

Linux Foundation CKA certification program is an excellent opportunity for professionals looking to enhance their skills and knowledge in Kubernetes. Certified Kubernetes Administrator (CKA) Program Exam certification is highly valued by organizations that are adopting Kubernetes, and it ensures that the candidate has the necessary skills to manage and troubleshoot Kubernetes applications in production. The program is open to anyone with a basic understanding of Linux and container technology, and the online course is self-paced, making it accessible from anywhere in the world.

The CKA Certification Exam is a hands-on, performance-based exam that tests the candidate's ability to perform various tasks related to Kubernetes. CKA exam consists of a set of practical tasks that the candidate must complete within a set time period. The tasks are designed to test the candidate's knowledge of Kubernetes and their ability to use Kubernetes to deploy, manage, and scale containerized applications.

Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q65-Q70):

NEW QUESTION # 65
You are running a stateful application using a StatefulSet. How do you ensure that the application data is preserved during a rolling update?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Use Persistent Volumes:
- Use Persistent Volumes (PVs) and Persistent Volume Claims (PVCs) to provide persistent storage for the stateful application data.
- Ensure that the PVCs are mounted to the pods in the StatefulSet.

2. Configure Rolling Updates: - Configure the StatefulSet's updateStrategy' to use a rolling update strategy. - Ensure that the 'updateStrategy.type' is set to 'RollingUpdate'. 3. Validate Data Preservation: - Perform a rolling update by updating the StatefulSet. - Validate that the application data is preserved during the update process. - Check the logs and application state to confirm that the data is intact.

NEW QUESTION # 66
Create a deployment as follows:
Name: nginx-random
Exposed via a service nginx-random
Ensure that the service & pod are accessible via their respective DNS records The container(s) within any pod(s) running as a part of this deployment should use the nginx Image Next, use the utility nslookup to look up the DNS records of the service & pod and write the output to
/opt/KUNW00601/service.dns and /opt/KUNW00601/pod.dns respectively.

Answer:

Explanation:
See the solution below.
Explanation
Solution:
F:WorkData Entry WorkData Entry00827CKA C.JPG

F:WorkData Entry WorkData Entry00827CKA D.JPG

F:WorkData Entry WorkData Entry00827CKA E.JPG

NEW QUESTION # 67
List "nginx-dev" and "nginx-prod" pod and delete those pods

Answer:

Explanation:
kubect1 get pods -o wide
kubectl delete po "nginx-dev" kubectl delete po "nginx-prod"

NEW QUESTION # 68
One of the nodes in your Kubernetes cluster is experiencing high CPU usage, which is affecting the performance of the entire cluster. The node is running multiple pods, and you need to identify which pod is responsible for the high CPU consumption and take steps to resolve the issue.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the High-CPU Node:
- Use 'kubectl top nodes' to view the CPU usage of each node in the cluster.
- Identify the node that is experiencing the high CPU usage.
2. List Pods on the Node:
- Use 'kubectl get pods -R to list all pods in the cluster.
- Filter the pods to find those running on the high-CPU node.
- For example, 'kubectl get pods -A I grep
3. Monitor Pod CPU Usage:
- Use 'kubectl top pod -n to view the CPU usage of each pod running on the node.
- Pay attention to the CPU usage metrics for each container within the pod.
4. Examine Pod Logs:
- Use "kubectl logs -f to view the logs of the suspected high-CPU pod.
- Search for any error messages, stack traces, or other indications that the pod is experiencing excessive CPU utilization.
5. Analyze Pod Resource Requests and Limits:
- Check the pod's resource requests and limits using 'kubectl describe pod
- Ensure that the pod is not requesting or using significantly more CPU resources than it needs.
- If the CPU requests are too high, the pod might be consuming excessive CPU even when idle.
6. Troubleshooting Options:
- Based on the analysis of the logs and resource usage:
- Adjust resource limits: If the pod is requesting too much CPU, reduce its CPU requests and limits in the Deployment YAML.
- Optimize container images: Use a smaller container image to reduce the resource footprint.
- Improve application code: Identify and address any inefficient code that is causing high CPU usage.
- Scale down the pod replicas: If the pod's workload is high, reduce the number of replicas to distribute the load across fewer pods.
- Consider using a different pod scheduling strategy: For example, use a node selector or taint to run the pod on a dedicated node with more resources.
7. Monitor and Adjust:
- After making changes to the pod's resources or configuration, monitor the node's CPU usage:
- Use 'kubectl top nodes' and 'kubectl top pod' to observe the impact of the changes.
- Adjust the configuration further if needed: Continue to optimize the pod's resource usage to bring the node's CPU usage back to a healthy level.

NEW QUESTION # 69
Create a pod as follows:
Name: mongo
Using Image: mongo
In a new Kubernetes namespace named: my-website

Answer:

Explanation:
See the solution below.
Explanation
solution
F:WorkData Entry WorkData Entry00827CKA9 B.JPG

NEW QUESTION # 70
......

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