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Linux Foundation Certified Kubernetes Administrator (CKA) program is a certification exam that validates the skills and knowledge of professionals who work with Kubernetes. Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. The CKA program is designed to test the ability of individuals to install, configure, and manage Kubernetes clusters.

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q18-Q23):

NEW QUESTION # 18
You have a Deployment named 'web-app' with 3 replicas running a Flask application. You need to implement a rolling update strategy that ensures only one pod is unavailable at any time. Additionally, you need to implement a strategy to handle the update process when the pod's resource requests exceed the available resources.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas' to 2.
- Define 'maxUnavailable: 1' and 'maxSurge: 0' in the 'strategy.rollingUpdate' section to control the rolling update process.
- Configure a 'strategy.type" to 'RollingUpdate" to trigger a rolling update when the deployment is updated.
- Add a 'spec.template.spec.resources' section to define resource requests for the pod.
- Set 'spec.template.spec.restartPolicy' to 'OnFailure' for the pod to restart when it fails.

2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f web-app.yaml' 3. Verify the Deployment: - Check the status of the deployment using 'kubectl get deployments web-app' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Update the 'web-app' image in the Docker Hub repository. 5. Monitor the Deployment: - Use 'kubectl get pods -l app=web-app' to monitor the pod updates during the rolling update process. You will observe that one pod is terminated at a time, while one new pod with the updated image is created. 6. Handle Resource Exceedance: - If the pod's resource requests exceed the available resources, the pod will be evicted and restarted. The 'restartPolicy' ensures that the pod restarts automatically upon failure. 7. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment web-app' to see that the 'updatedReplicas' field matches the 'replicas' field, indicating a successful update.

NEW QUESTION # 19
You have a Deployment named 'my-app-deployment' running a web application. The Deployment's Service is exposed using a NodePort service. You need to configure a new Ingress resource that allows traffic to reach the web application through a specific domain name. How would you set up the Ingress configuration?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Install the Ingress Controller:
- If you haven't already, install an Ingress controller. Common options include:
- NGINX Ingress Controller: [https://kubernetes.github.io/ingress-nginx/](https://kubernetes.github.io/ingress- nginx/)
- Traefik Ingress Controller: [https://traefik.io[](https://traefik.io/)
2. Create an Ingress Resource:
- Create a new Ingress resource using the following YAML structure, replacing the placeholders with your actual values:

3. Configure DNS: - Create a DNS record for your domain 'my-app.example.com' pointing to the IP address of your Ingress controller. This can be either a LoadBalancer service IP or the Ingress controller's pod IP if you're using NodePort. 4. Verify Ingress Setup: - Once the DNS records are propagated, you should be able to access your web application through the configured domain name 'my-app.example.com'.

NEW QUESTION # 20
Get the list of pods of webapp deployment

A. // Get the label of the deployment
kubectl get deploy --show-labels
kubectl get pods -l app=webapp
B. // Get the label of the deployment
kubectl get deploy --show-labels
// Get the pods with that label
kubectl get pods -l app=webapp

Answer: B

NEW QUESTION # 21
You have a deployment that uses a PersistentVolumeClaim for its storage. The deployment is scaled to 5 replicas. You notice that each pod is using the same volume, leading to data corruption. Explain why this is happening and how you can fix the problem.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
This problem arises because the access mode of the PersistentVolumeClaim is set to 'ReadWriteMany', and the PVC is shared between all pods. When multiple pods access the same data simultaneously, data corruption can occur due to inconsistent updates. To fix the issue, you need to change the PVC access mode to 'ReadWriteOnce' and create individual PVCs for each pod. Here's how:
1. Update the PVC Access Mode:
- Modify the access mode in the PersistentVolumeClaim YAML file to 'ReadWriteOnce'.

2. Update the Deployment to use Multiple PVCs: - Update the Deployment YAML to use a unique PVC for each pod by specifying the 'persistentVolumeClaim' field in the 'spec.template.spec.containers.volumeMounts' section.

3. Apply the Changes: - Apply the updated PVC and Deployment YAML files using 'kubectl apply -f my-pvc.yaml' and "kubectl apply -f my-deployment.yaml' , respectively. - By setting the PVC access mode to 'ReadWriteOnce', each pod can access the volume exclusively. - The updated Deployment definition ensures that each pod has a unique PersistentVolumeClaim. The 'claimName' field in the volumes' section uses the 'pod.metadata.name' to create a unique name for each PVC. This ensures that each pod has its own dedicated storage, preventing data corruption and ensuring data consistency.]

NEW QUESTION # 22
Monitor the logs of pod foo and:
Extract log lines corresponding to error
unable-to-access-website
Write them to /opt/KULM00201/foo

Answer:

Explanation:
solution

NEW QUESTION # 23
......

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