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Linux Foundation CKAD (Linux Foundation Certified Kubernetes Application Developer) certification exam is a professional certification exam designed for developers who want to demonstrate their skills and knowledge in designing, building, and deploying scalable and reliable applications on Kubernetes. Kubernetes has become the de facto standard for container orchestration, and the CKAD certification is an excellent way to validate your Kubernetes skills and become a certified Kubernetes application developer.

The CKAD Exam is a performance-based exam that requires candidates to complete a set of tasks within a given time frame. CKAD exam is conducted online and candidates are required to use a terminal and a web browser to complete the tasks. CKAD exam is designed to test the candidate's ability to work with Kubernetes in a hands-on environment and to complete tasks that are similar to those encountered in real-world Kubernetes application development scenarios.

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How to Pass CNCF Certified Kubernetes Application Developer Exam

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Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q59-Q64):

NEW QUESTION # 59
You are tasked With deploying a new web application on Kubernetes. The application is designed to be highly available and requires persistent storage for user dat a. The application needs to be able to handle incoming requests even during rolling updates. How would you design the deployment using StatetulSets, ensuring that the application remains available and data is preserved even when updating the deployment?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Create a PersistentVoIumeCIaim:
- Define a PersistentVoIumeCIaim (PVC) to request the necessary storage space for the application's data. This ensures persistent storage is provisioned for each pod.

2. Define a StatefulSet: - Create a StatefulSet that defines the deployment configuration. Ensure that the following configurations are included: - 'serviceName': Define a service name for the StatefulSet. - 'replicas': Define tne number of replicas (pods) required for the application. - 'volumeClaimTemplates': Include the previously defined PVC to ensure each pod is assigned persistent storage. - 'template-spec-containers. volumeMounts': Mount the volume from the PVC at the desired location within the container. - 'podManagementP01icy: Parallels: Configure the podManagementP01icy to allow parallel pod updates during rolling updates, maintaining application availability.

3. Create the Service. - Create a service that exposes the application to the outside world Use the 'ClusterlP' service type for internal access within the Kubernetes cluster.

4. Apply the Configuration: - Apply the StatefulSet, PVC, and service configurations using 'kubectl apply -f' to deploy the application on Kubernetes. 5. Verify the Deployment: - Use 'kubectl get statefulsets webapp-statefulset and 'kubectl get pods -I app=webapp' to verify that the StatefuISet has been deployed successfully and the pods are running with the correct configurations. 6. Test Rolling Updates: - Push a new image to the 'example/webapp:latest Docker Hub repository. The StatetulSet will automatically initiate a rolling update. Monitor the pods using 'kubectl get pods -l app=webapp' to observe the update process. You should see that pods are updated one at a time, ensuring that the application remains available throughout the update. Important Notes: - StatetulSets are ideal for applications that require persistent storage, unique identifiers, and ordered deployments, making them suitable for highly available web applications. - The 'podManagementPolicy: Parallel' setting ensures that the application remains available even when pods are updated. - Always define a 'partition' in the 'rollinglJPdate' strategy to ensure that all pods are part of the update. - Consider using liveness probes and readiness probes Within your application containers for health checks to ensure the application is healthy during the rolling update process. - For external access, you can use a LoadBalancer service type in the service definition.,

NEW QUESTION # 60
Context

Context
You have been tasked with scaling an existing deployment for availability, and creating a service to expose the deployment within your infrastructure.
Task
Start with the deployment named kdsn00101-deployment which has already been deployed to the namespace kdsn00101 . Edit it to:
* Add the func=webFrontEnd key/value label to the pod template metadata to identify the pod for the service definition
* Have 4 replicas
Next, create ana deploy in namespace kdsn00l01 a service that accomplishes the following:
* Exposes the service on TCP port 8080
* is mapped to me pods defined by the specification of kdsn00l01-deployment
* Is of type NodePort
* Has a name of cherry

Answer:

Explanation:
Solution:

NEW QUESTION # 61
You are developing a container image for a .NET Core application tnat requires a specific version of tne .NET Core SDK to be installed. How would you ensure that the correct SDK version is available within your Docker image during the build process?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Choose .NET SDK Base Image:
- Select a base image that includes the desired .NET Core SDK version from Docker Hub.
- Example (for .NET core 3.1 SDK):
dockerfile
FROM mcr-microsoft.com/dotneVsdk:3.1
2. Copy Application Code:
- Copy your .NET Core application code into the Docker image.
- Example:
dockerfile
COPY
3. Build the Application:
- Use the 'RIJN' instruction to build your .NET Core application using the 'dotnet publish' command.
- Example:
dockerfile
RUN dotnet publish -c Release -o /app
4. Define Runtime Image (Optional):
- Create a second stage Dockerfile that uses a smaller base image, copying only the published application files.
- This optimizes the final image size.
- Example:
dockerfile
FROM mcr-microsoft.com/dotnet/aspnet:3.1
COPY -from=build /app /app
WORKDIR /app
ENTRYPOINT ["dotnet", "your-app.dll"]
5. Build and Deploy:
- Use 'docker build' to construct the final Docker image.
- Deploy this image to your Kubernetes cluster.

NEW QUESTION # 62
Refer to Exhibit.

Task
A deployment is falling on the cluster due to an incorrect image being specified. Locate the deployment, and fix the problem.

Answer:

Explanation:
create deploy hello-deploy --image=nginx --dry-run=client -o yaml > hello-deploy.yaml Update deployment image to nginx:1.17.4: kubectl set image deploy/hello-deploy nginx=nginx:1.17.4

NEW QUESTION # 63
Context

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:
Solution:

NEW QUESTION # 64
......

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