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Linux Foundation CKAD certification exam is a valuable certification program for developers who want to demonstrate their proficiency in Kubernetes application development. It is a practical, performance-based exam that tests the candidate's ability to deploy, configure, and manage Kubernetes applications. The CKAD Certification is globally recognized and can help developers enhance their career prospects and increase job opportunities.

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The CKAD exam is designed for developers who are already proficient in Kubernetes application development and want to validate their skills. CKAD exam tests candidates on a variety of topics including core concepts, configuration, multi-container pods, observability, pod design, services and networking, state persistence, and troubleshooting. CKAD Exam is based on the Kubernetes v1.19 curriculum, which is the latest version of Kubernetes at the time of writing.

Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q106-Q111):

NEW QUESTION # 106
You have a Kubernetes cluster with a Deployment named 'wordpress-deployment running 3 replicas of a WordPress container. You want to expose this deployment as a service and ensure that the service only forwards traffic to the pods With the label 'version: v?. You need to create a service with the following requirements:
- The service name should be swordpress-service'
- The service should be of type 'Load8alancer' for external access.
- The service should only target pods with the label 'version: v?
- The service should expose port 80 on tne service, wmch maps to port 8080 in the WordPress container.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Service:
- Create a YAML file named 'wordpress-service.yamr with the following content:

2. Apply the Service: - Apply the YAML file to your cluster using 'kubectl apply -f wordpress-service.yamr 3. Verify the Service: - Check the service status using 'kubectl get services wordpress-service'. This should show that the service is created with type 'LoadBalancers and an external IP address is assigned to it. 4. Access WordPress: - Once the service is running, you can access your WordPress application by navigating to the external IP address assigned to the 'wordpress- service' in your browser.


NEW QUESTION # 107

Set Configuration Context:
[student@node-1] $ | kubectl
Config use-context k8s
Context
A container within the poller pod is hard-coded to connect the nginxsvc service on port 90 . As this port changes to 5050 an additional container needs to be added to the poller pod which adapts the container to connect to this new port. This should be realized as an ambassador container within the pod.
Task
* Update the nginxsvc service to serve on port 5050.
* Add an HAproxy container named haproxy bound to port 90 to the poller pod and deploy the enhanced pod.
Use the image haproxy and inject the configuration located at /opt/KDMC00101/haproxy.cfg, with a ConfigMap named haproxy-config, mounted into the container so that haproxy.cfg is available at /usr/local/etc
/haproxy/haproxy.cfg. Ensure that you update the args of the poller container to connect to localhost instead of nginxsvc so that the connection is correctly proxied to the new service endpoint. You must not modify the port of the endpoint in poller's args . The spec file used to create the initial poller pod is available in /opt
/KDMC00101/poller.yaml

Answer:

Explanation:
See the solution below.
Explanation:
Solution:
To update the nginxsvc service to serve on port 5050, you will need to edit the service's definition yaml file.
You can use the kubectl edit command to edit the service in place.
kubectl edit svc nginxsvc
This will open the service definition yaml file in your default editor. Change the targetPort of the service to
5050 and save the file.
To add an HAproxy container named haproxy bound to port 90 to the poller pod, you will need to edit the pod's definition yaml file located at /opt/KDMC00101/poller.yaml.
You can add a new container to the pod's definition yaml file, with the following configuration:
containers:
- name: haproxy
image: haproxy
ports:
- containerPort: 90
volumeMounts:
- name: haproxy-config
mountPath: /usr/local/etc/haproxy/haproxy.cfg
subPath: haproxy.cfg
args: ["haproxy", "-f", "/usr/local/etc/haproxy/haproxy.cfg"]
This will add the HAproxy container to the pod and configure it to listen on port 90. It will also mount the ConfigMap haproxy-config to the container, so that haproxy.cfg is available at /usr/local/etc/haproxy/haproxy.
cfg.
To inject the configuration located at /opt/KDMC00101/haproxy.cfg to the container, you will need to create a ConfigMap using the following command:
kubectl create configmap haproxy-config --from-file=/opt/KDMC00101/haproxy.cfg You will also need to update the args of the poller container so that it connects to localhost instead of nginxsvc. You can do this by editing the pod's definition yaml file and changing the args field to args:
["poller","--host=localhost"].
Once you have made these changes, you can deploy the updated pod to the cluster by running the following command:
kubectl apply -f /opt/KDMC00101/poller.yaml
This will deploy the enhanced pod with the HAproxy container to the cluster. The HAproxy container will listen on port 90 and proxy connections to the nginxsvc service on port 5050. The poller container will connect to localhost instead of nginxsvc, so that the connection is correctly proxied to the new service endpoint.
Please note that, this is a basic example and you may need to tweak the haproxy.cfg file and the args based on your use case.


NEW QUESTION # 108
You have a container image for a web application that uses a specific version of a Java library_ You want to update this library to a newer version, but you are concerned about potential compatibility issues. Describe the steps involved in modifying the container image to include both the old and new versions of the library, allowing you to selectively use either version based on your needs.

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-java-library' with the actual Java library name. - Replace 'new-version' and 'old-version' with the desired versions. - Adjust the 'apt-get' commands to match the package manager of your chosen base image. 2. Build the Image: - Build the image using tne Dockefflle: docker build -t updated-image:latest 3. Modify your application code: - Modify your Java code to explicitly use the desired version of the library. You can achieve this by: - Setting a System Property: Pass the desired version as a system property to the JVM, and your application can then read and use it. - Using the Classpath: Add the specific jar file for the desired version to the classpath at runtime. - Conditional Loading: Implement logic in your code to determine which version to use based on specific conditions or user input. 4. Update 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. You should be able to test both versions of the library and switch between them based on your requirements.,


NEW QUESTION # 109
Exhibit:

Context
A user has reported an aopticauon is unteachable due to a failing livenessProbe .
Task
Perform the following tasks:
* Find the broken pod and store its name and namespace to /opt/KDOB00401/broken.txt in the format:

The output file has already been created
* Store the associated error events to a file /opt/KDOB00401/error.txt, The output file has already been created. You will need to use the -o wide output specifier with your command
* Fix the issue.

Answer: B


NEW QUESTION # 110
Refer to Exhibit.

Task
You are required to create a pod that requests a certain amount of CPU and memory, so it gets scheduled to-a node that has those resources available.
* Create a pod named nginx-resources in the pod-resources namespace that requests a minimum of 200m CPU and 1Gi memory for its container
* The pod should use the nginx image
* The pod-resources namespace has already been created

Answer:

Explanation:
Solution:





NEW QUESTION # 111
......

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