2025 CKAD: LINUX FOUNDATION CERTIFIED KUBERNETES APPLICATION DEVELOPER EXAM MARVELOUS RELIABLE REAL EXAM

2025 CKAD: Linux Foundation Certified Kubernetes Application Developer Exam Marvelous Reliable Real Exam

2025 CKAD: Linux Foundation Certified Kubernetes Application Developer Exam Marvelous Reliable Real Exam

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Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q168-Q173):

NEW QUESTION # 168
You have a container image that contains a Python application. The application depends on specific libraries that are not included in the base image used for the container. Describe the steps involved in modifying the image to install the necessary libraries Without rebuilding the entire application.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Dockerfile:
- Create a new 'Dockerfile' with the following content

- Replace 'existing-image:latest' with the name of your current container image. - Replace 'requirements-txt' with the name of your file containing the list of Python libraries. 2. Build the Image: - Build the new image using the Dockerfile: docker build -t updated-image:latest 3. Update the Deployment - Modify your Deployment YAML file to use the newly built image:

4. Apply the Changes: - Apply the updated Deployment using Skubectl apply -f deployment.yamr. This will trigger a rolling update to the pods using the new image. 5. Verify the Update: - Check the logs of the pods using 'kubectl logs -f . You should see the application running with the installed libraries. 6. Test the Application: - Access your application and ensure it functions correctly with the new libraries.


NEW QUESTION # 169
You have a Deployment named swordpress-deployment' running two pods for a WordPress website. The website is experiencing intermittent slowdowns and high latency. You suspect it might be due to excessive resource consumption by the Pods, particularly memory usage. To diagnose the issue, you need to:
Analyze the logs of the WordPress pods to identify any potential causes of the slowdowns.
Examine the resource consumption of tne Pods, especially memory utilization.
Identify and analyze any error messages or warnings that might indicate a problem.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Get Logs:
- Use 'kubectl logs -f wordpress-deployment-pod-name' to get the logs from one of the pods. Replace 'wordpress-deployment-pod-name' with the actual name of the pod.
- Examine the logs for any error messages, warning messages, or anything that might indicate a performance issue. Look for messages related to memory pressure, disk l/o, or CPU usage.
- Example Log Analysis:
[INFO] Memory usage is high. Consider increasing memory limit
[ERROR] Database connection timeout.
2. Examine Resource Usage:
- Use kubectl describe pod wordpress-deployment-pod-names to check the resource consumption of the pod.
- Focus on the 'Containers' section, specifically the ' Memory' and 'CPU' usage- Check if these resources are approaching or exceeding the limits defined in the pod spec.
- Example Resource Usage Analysis:
Containers:
wordpress:
Memory: 1.97Gi (19.7% of Limit)
CPU: 400m (40% of Limit)
- If memory usage is consistently high, it indicates that your WordPress application may need more memory resources.
3. Analyze for Errors:
- If the logs contain error messages, carefully analyze them for potential issues.
- For example, if you see errors related to database connections, this could indicate a problem with your database configuration or capacity.
- Example Error Analysis:
- Errors related to database connections might suggest that the database server is under load or experiencing performance issues.
- Errors related to disk 1/0 mignt indicate problems with the persistent volumes used by the pods.
Troubleshooting based on Analysis:
- If memory usage is the problem:
- Increase the memory limit for the WordPress container within your deployment YAML.
- Re-apply the deployment to update the pods: 'kubectl apply -f wordpress-deploymentyamr
- Monitor the resource usage again to confirm that the memory usage has improved.
- If the logs show database connection issues:
- Check the configuration of your database server and ensure it has sufficient resources (CPU, memory, etc.).
- Verify that the database server is accessible from the WordPress pods.
- If your database server is hosted on a separate pod or service, scale it up to handle the increased load.
- If the logs show other issues:
- Refer to the specific error messages and consult the relevant documentation for your WordPress application or the Kubernetes components involved.
- Look for potential solutions based on the specific errors encountered. ,


NEW QUESTION # 170
Refer to Exhibit.

Task:
Update the Deployment app-1 in the frontend namespace to use the existing ServiceAccount app.

Answer:

Explanation:
Solution:


NEW QUESTION # 171
You have a ConfigMap named 'my-app-config' that stores environment variables for your application. You want to dynamically update tne values in the ConfigMap without restarting the pods. How would you achieve this using a Kubernetes Patch?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Get the Existing ConfigMap Data:
bash
kubectl get configmap my-app-config -o yaml > my-app-config.yaml
2. Modify the YAML File:
- Open 'my-app-config.yaml and update the values in the 'data' section as required- For example, if you want to change the value of 'DATABASE_HOST to Sdb.new.example.coms:

3. Patch the ConfigMap: bash kubectl patch configmap my-app-config -p "S(cat my-app-config_yaml)" 4. Verify the Changes: bash kubectl get configmap my-app-config -o yaml 5. Observe the Updated Values: - The pods will automatically pick up the updated values without the need for restarting. - You can confirm this by checking the environment variables within the pod using 'kubectl exec -it - bash -c 'env" This method allows for dynamic updates to the ConfigMap without restarting the pods, making it a convenient way to manage environment variables in your Kubernetes applications.


NEW QUESTION # 172
Context

Task
Create a new deployment for running.nginx with the following parameters;
* Run the deployment in the kdpd00201 namespace. The namespace has already been created
* Name the deployment frontend and configure with 4 replicas
* Configure the pod with a container image of lfccncf/nginx:1.13.7
* Set an environment variable of NGINX__PORT=8080 and also expose that port for the container above

Answer:

Explanation:
Solution:




NEW QUESTION # 173
......

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