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| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Certified Kubernetes Application Developer (CKAD) Exam |
| Exam Number: | CKAD |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Exam Format: | Performance-based, Command-line |
| Passing Score: | 66% |
| Exam Duration: | 120 minutes |
| Exam Price: | USD 445 |
| Related Certifications: | Certified Kubernetes Application Developer (CKAD) |
| Real Exam Qty: | 15-20 (performance-based tasks) |
| Sample Questions: | Linux Foundation CKAD Sample Questions |
| Exam Way: | Online, proctored exam via PSI Secure Browser (performance-based in a command-line environment). |
| Pre Condition: | No mandatory prerequisites, but working knowledge of container runtimes and microservice architecture is recommended. |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/ |
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The CKAD certification exam is an excellent way for developers to showcase their skills and expertise in Kubernetes application development. It is also a great way to enhance career prospects and increase job opportunities. Kubernetes is rapidly becoming the standard for container orchestration, and the demand for skilled Kubernetes developers is on the rise. The CKAD Certification is a valuable addition to a developer's resume and can help them stand out in a competitive job market.
NEW QUESTION # 170 
Task:
Create a Pod named nginx resources in the existing pod resources namespace.
Specify a single container using nginx:stable image.
Specify a resource request of 300m cpus and 1G1 of memory for the Pod's container.
Answer:
Explanation:
See the solution below.
Explanation:
Solution:
NEW QUESTION # 171
You have a container image that uses a specific version of a library. You want to update this library to a newer version while still keeping the previous version available for compatibility purposes. Describe the steps involved in modifying the container image to include both versions of the library 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 'your-library' Witn the actual library name. - Replace 'new-version' and 'old-version' witn tne desired versions. 2. Build the Image: - Build the image using tne DockerTlle: docker build -t updated-image:latest 3. Modify your application code: - Modify your application code to explicitly import the specific version of the library that you want to use. For example: python # Import the new version for new functionality from your_library impon new_functionality # Import the Old version for backward compatibility from your_library import old_functionality # Use the appropriate version of the library based on your requirements 4. IJpdate the Deployment - Modify your Deployment YAML file to use the newly built image:
5. Apply the Changes: - Apply the updated Deployment using kubectl apply -f deployment.yamr 6. Test the Application: - Access your application and ensure it functions correctly with both versions of the library.
NEW QUESTION # 172
You have a web application tnat requires a dedicated sidecar container to manage logging and monitoring. The sidecar container should be deployed alongside every pod of the application. You need to ensure that the sidecar container is always available alongside the application pods, even if the main application container ex;mences failures. Which Kubernetes resource is most suitable for this scenario and wny?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Choose DaemonSet The most suitable Kubernetes resource for this scenario is a DaemonSet.
2. Daemonset Functionality: Daemonsets ensure that a pod is running on every node in your cluster. This is ideal tor sidecar containers because they need to be present alongside tne main application pod on each node.
3. Daemonset Benefits:
- Guaranteed Availability: Daemonsets guarantee that the sidecar container is always available on the same node as the main application pod, even if the application pod is restarted or fails.
- Pod Management: DaemonSets manage the lifecycle of the sidecar container, ensuring its availability and resource allocation.
- Node-Level Deployment: Daemonsets deploy pods on all nodes, ensuring consistent functionality across the cluster
4. Implementation Example:
This DaemonSet definition specifies a pod with two containers: the 'logging-sidecar' and 'your-application'. The Slogging-sidecar' is your sidecar container, and 'your-application' represents your main application. - Important: The Daemonset will ensure that a pod with these containers is deployed on every node of your Kubernetes cluster 5. Deployment and Monitoring: - Deployment: Use 'kubectl apply -f logging-sidecar.yamr to deploy the DaemonSet. - Monitoring: Observe the pods created by the Daemonset using 'kubectl get pods'. You should see a pod with the 'logging-sidecar and 'your- application' containers running on each node- 6. Conclusion: - Using a DaemonSet to manage your sidecar container ensures its consistent availability alongside the main application pods, guaranteeing logging and monitoring capabilities even in case of pod failures-,
NEW QUESTION # 173
You have a Deployment named 'wordpress-deployment' that runs 3 replicas of a WordPress container. You need to implement a persistent volume claim (PVC) for each pod that stores the website data, and you want to ensure that the data persists even if the pod is deleted or restarted. The PVC should be created using a storage class named 'standard' with a capacity of 10Gi.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Create a Storage Class:
- Create a 'standard' storage class:
- Apply the YAML file: bash kubectl apply -f standard-storage-class-yaml 2. Create a Persistent Volume Claim: - Create a PVC named 'wordpress-pvc' with a request for IOGi storage and using the 'standard' storage class:
- Apply the YAML file: bash kubectl apply -f wordpress-pvc.yaml 3. Update the Deployment - Update the Swordpress-deployment' YAML file to mount the PVC to each pod:
- Apply the updated YAML file: bash kubectl apply -f wordpress-deployment_yaml 4. Verify the Deployment - Check the status of the deployment using 'kubectl get deployments wordpress-deployment' to confirm the rollout and updated replica count. - Use 'kubectl describe pods -l app=wordpress' to confirm that each pod is using the 'wordpress-pvc' and the website data is stored in the persistent volume. - You can now access the WordPress website through the service that is associated with the Deployment. 5. Test Data Persistence: - Delete or restan one of the pods in the deployment. - Observe that the website data remains intact because the PVC is persistent and the data is stored in the underlying volume.,
NEW QUESTION # 174
You need to schedule a job to run every day at 10:00 AM to clean up old container images in your Kubernetes cluster These images are tagged with "app=my-app" and have been created in the last 7 days. How would you implement this using a CronJob?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a CronJob YAML file:
2. Apply the Cronjob: bash kubectl apply -f image-cleanup-cronjob.yaml 3. Verify the CronJob: bash kubectl get cronjobs - Schedule: The 'schedule' field defines the cron expression, which triggers the job every day at 10:00 AM. - Job Template: - The 'j0bTemplate' defines the actual job that Will be executed. - Container: - The 'image' field specifies the container image to use. In this case, it's a container with 'kubectr pre-installed_ - The 'command' and Sargs' fields detine the command to run in the container. The command uses 'kubectr to list images With the specified label and then iterates through them, checking their creation date. If an image is older than 7 days, it's deleted. - RestaftPolicy: The 'restartPolicy' is set to 'OnFailure' to ensure the job restarts if it fails. Important Note: - Make sure the container image you choose has the necessary tools (like 'kubectl') to interact with your Kubernetes cluster. - This solution assumes you have the necessary permissions to delete images. If not, you may need to modify the 'kubectl delete image' command to use appropriate RBAC roles. - This solution doesn't consider images used by running pods. You should adjust the script to exclude images that are currently in use. This Cronjob will automatically run every day, cleaning up old container images and maintaining a clean environment in your cluster.,
NEW QUESTION # 175
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