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[General] Testking CKA Exam Questions, CKA Dumps Collection

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【General】 Testking CKA Exam Questions, CKA Dumps Collection

Posted at yesterday 20:35      View：9 | Replies：0        Print      Only Author   [Copy Link] 1#
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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q54-Q59):NEW QUESTION # 54
You have a Kubernetes cluster where different teams manage applications in different namespaces. You want to enable a team to manage their resources in a specific namespace while preventing them from accessing resources in other namespaces.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Create a ServiceAccount for the team:

2. Create a ClusterRole for the team:

3. Create a ClusterRoleBinding that binds the ClusterRole to the ServiceAccount and restricts access to a specific namespace:

4. Replace 'team-sa', 'team-namespace', and 'team-clusterrole' with the actual names. 5. Test the configuration by creating a deployment as the ServiceAccount in the assigned namespace and verifying that you can't access resources in other namespaces.

NEW QUESTION # 55
Your Kubernetes cluster is experiencing a high number of pod restarts in the 'database-service' Deployment. The logs show errors related to "connection refused" from the database service. You need to diagnose the issue and resolve it.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Check the Database Service:
- Verify the database service is running and healthy:
- Use 'kubectl get services database-service' to check the service status.
- If the service is not running, try restarting it with 'kubectl delete service database-service' followed by 'kubectl apply -f database-service.yaml'
2. Investigate Network Connectivity:
- Check if pods in the 'database-service' Deployment can connect to the database service:
- Use 'kubectl exec -it -n bash' to enter a pod in the Deployment.
- Run 'ping database-service' or 'telnet database-service to test network connectivity.
- If ping or telnet fails, there might be a network issue between the pods and the database service.
3. Examine Service Configuration:
- Inspect the database service YAML:
- Verify the port mapping in the service definition matches the port that the database service listens on.
- Ensure the service selector matches the labels of the database pods.
- Example:

4. Check for Network Policies: - Determine if any network policies are blocking traffic between the database service and the pods: - Use 'kubectl get networkpolicies -n ' to list network policies. - Examine the policies to see if they are blocking traffic based on labels, ports, or other criteria. 5. Troubleshoot Database Service: - Verify the database service itself is running and accessible: - If you can access the database service directly from outside the cluster, but the pods cannot connect, there may be an issue with the database service itself. - Run tests to ensure the database is functioning correctly. 6. Test and Redeploy: - After making changes to the service definition, apply the update: - 'kubectl apply -f database-service.yaml' - Monitor the pod restarts. If the issue persists, consider further troubleshooting steps, such as inspecting firewall rules or DNS resolution.

NEW QUESTION # 56
Install a kubernetes cluster with one master and one worker using kubeadm
Answer: B

NEW QUESTION # 57
Add a taint to node "worker-2" with effect as "NoSchedule" and
list the node with taint effect as "NoSchedule"
  • A. // Add taint to node "worker-2"
    kubectl taint nodes worker-2 key=value:NoSchedule
    .items
  • }{.metadata.name} {.spec.taints[?(
    @.effect=='NoSchedule' )].effect}{""}{end}" | awk 'NF==2
    {print $0}'
  • B. // Add taint to node "worker-2"
    kubectl taint nodes worker-2 key=value:NoSchedule
    // Verify
    // Using "custom-coloumns" , you can customize which coloumn to
    be printed
    kubectl get nodes -o customcolumns=NAME:.metadata.name,TAINTS:.spec.taints --no-headers
    // Using jsonpath
    kubectl get nodes -o jsonpath="{range
    .items
  • }{.metadata.name} {.spec.taints[?(
    @.effect=='NoSchedule' )].effect}{""}{end}" | awk 'NF==2
    {print $0}'
Answer: B

NEW QUESTION # 58
You have a Deployment named running three replicas of a WordPress container. The WordPress application is experiencing intermittent errors, and you need to investigate the cause. You suspect that the errors might be related to issues with the logs generated by the WordPress container. How can you efficiently capture and analyze the 'stdout' and 'stderr' logs from all three pods in the 'wordpress-deployment' to pinpoint the root cause of the errors?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Use 'kubectl logs' to access the container logs:
- Run the following command to retrieve the logs from all pods in the deployment:
kubectl logs -l app=wordpress -f
- This command retrieves the logs from all pods that have the label , which is the label selecto for your deployment. The flag enables continuous log streaming, allowing you to see new log messages in real-time.
2. Use 'kubectl logs -p' for more specific pod logs:
- If you want to examine logs from a specific pod, you can provide the pod name. For example, to get the logs from the pod named 'wordpress-deployment-795d7f7449-2c4d7':
kubectl logs wordpress-deployment-795d7f7449-2c4d7 -p -f
- The '-p' flag ensures that you are fetching logs from the previous container instance of the pod, which is helpful if the current container instance is not showing any relevant errors.
3. Utilize 'kubectl logs --since' for time-based log retrieval:
- If you need to analyze logs from a specific time period, use the '--since' flag. For example:
kubectl logs -l app=wordpress --since=15m -f
- This command retrieves logs from the past 15 minutes from all pods with the label 'app=wordpress'. You can adjust the time duration as needed.
4. Use 'kubectl logs --tail' to view the last few lines:
- To focus on the most recent log entries, you can use the '--tail' flag:
kubectl logs -l app=wordpress --tail=100 -f
- This command retrieves the last 100 lines of logs from all pods with the label 'app=wordpress'.
5. Analyze the logs:
- Once you have retrieved the logs, examine them carefully for any error messages, warning signs, or unusual activity that might indicate the source of the errors. Look for patterns, recurring errors, or timestamps that correlate with the observed issues.
6. Further investigation:
- Based on the analysis of the logs, you can take further actions to troubleshoot the problem. This might include:
- Inspecting the WordPress application logs: If the logs indicate problems within the application itself, you need to delve into the WordPress logs to get more specific insights.
- Checking the container image: If the logs point to issues with the container image, you might need to rebuild or update the image.
- Examining the Kubernetes environment: If the logs suggest problems related to Kubernetes resources, you might need to adjust configuration files, investigate other components, or troubleshoot any network issues.
7. Use tools for log analysis:
- For large volumes of logs or complex log patterns, consider using log analysis tools such as 'grep' , ' awe , 'sed' , or specialized log analysis tools that offer advanced features like filtering, aggregation, and visualization. These tools can help you extract relevant information and identify trends more effectively.
By following these steps, you can effectively capture and analyze the 'stdout' and 'stderr' logs from the WordPress ods enablin ou to identi the root cause of the intermittent errors and resolve the issue.

NEW QUESTION # 59
......
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