2025 LINUX FOUNDATION THE BEST CKAD VALID EXAM EXPERIENCE

2025 Linux Foundation The Best CKAD Valid Exam Experience

2025 Linux Foundation The Best CKAD Valid Exam Experience

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Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q152-Q157):

NEW QUESTION # 152
You are designing a container image for a Pytnon application tnat uses a specific version of a Pytnon library C requests'). You want to ensure that this specific library version is always used, regardless of the host system's installed version. Explain how you would achieve this within your Docket-file.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Install Library in Dockerfile:
- Utilize the 'COPY' instruction in your Dockerfile to copy a requirements file containing the exact library version you need.
- Use the 'RIJN' instruction to install the library from the requirements file.
- Example:
dockeflle
FROM python:3S
COPY requirements.txt
RUN pip install -r requirements-txt
COPY
CMD ["python", "app.py"l
2. Create Requirements File ('requirements.txt'):
- Create a 'requirements-txt' file within your project directory.
- Add the specific version of tne 'requests' library to this file.
- Example:
Requests==2.28.1
3. Build the Docker Image:
- Construct your Docker image using the Dockeflle.
- Run tne following command: 'docker build -t your-image-name .
4. Run the Container:
- Launch the container in Kubemetes.
- Verify that the 'requests' library with the specified version is successfully used within the container.


NEW QUESTION # 153

Task:
Modify the existing Deployment named broker-deployment running in namespace quetzal so that its containers.
1) Run with user ID 30000 and
2) Privilege escalation is forbidden
The broker-deployment is manifest file can be found at:

Answer:

Explanation:
See the solution below.
Explanation
Solution:

Text Description automatically generated


NEW QUESTION # 154
Context

Context
As a Kubernetes application developer you will often find yourself needing to update a running application.
Task
Please complete the following:
* Update the app deployment in the kdpd00202 namespace with a maxSurge of 5% and a maxUnavailable of 2%
* Perform a rolling update of the web1 deployment, changing the Ifccncf/ngmx image version to 1.13
* Roll back the app deployment to the previous version

Answer:

Explanation:
Solution:




NEW QUESTION # 155

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:

Explanation:
See the solution below.
Explanation
Solution:
Create the Pod:
kubectl create
-f http://k8s.io/docs/tasks/configure-pod-container/
exec-liveness.yaml
Within 30 seconds, view the Pod events:
kubectl describe pod liveness-exec
The output indicates that no liveness probes have failed yet:
FirstSeen LastSeen Count From SubobjectPath Type Reason Message
--------- -------- ----- ---- ------------- -------- ------ -------
24s 24s 1 {default-scheduler } Normal Scheduled Successfully assigned liveness-exec to worker0
23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Pulling pulling image
"gcr.io/google_containers/busybox"
23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Pulled Successfully pulled image
"gcr.io/google_containers/busybox"
23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Created Created container with docker id
86849c15382e; Security:[seccomp=unconfined]
23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Started Started container with docker id
86849c15382e
After 35 seconds, view the Pod events again:
kubectl describe pod liveness-exec
At the bottom of the output, there are messages indicating that the liveness probes have failed, and the containers have been killed and recreated.
FirstSeen LastSeen Count From SubobjectPath Type Reason Message
--------- -------- ----- ---- -------------
37s 37s 1 {default-scheduler } Normal Scheduled Successfully assigned liveness-exec to worker0
36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Pulling pulling image
"gcr.io/google_containers/busybox"
36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Pulled Successfully pulled image
"gcr.io/google_containers/busybox"
36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Created Created container with docker id
86849c15382e; Security:[seccomp=unconfined]
36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Started Started container with docker id
86849c15382e
2s 2s 1 {kubelet worker0} spec.containers{liveness} Warning Unhealthy Liveness probe failed: cat: can't open
'/tmp/healthy': No such file or directory
Wait another 30 seconds, and verify that the Container has been restarted:
kubectl get pod liveness-exec
The output shows that RESTARTS has been incremented:
NAME READY STATUS RESTARTS AGE
liveness-exec 1/1 Running 1 m


NEW QUESTION # 156
You are building a system for scheduling daily backups of a critical database. The backup process involves running a script that connects to the database, extracts tne data, and saves it to an S3 bucket. How would you utilize Kubernetes JobS to automate this backup process and ensure it runs every day at 2:00 AM?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Job YAML file.

- Replace 'your-backup-script-image:latest With the actual image name of your backup script. - Replace 'your-backup-script.sn' with the actual name Of your backup script. - Replace saws-secret' with the name of the Kubernetes secret holding your AWS credentials (see step 2). - 'restartPolicy: Never ensures the job runs only once. 2. Create a Secret for AWS Credentials:

- Replace ''and'' With your actual AWS credentials. 3. Create a CronJob YAML file:

- Adjust the 'schedules to your desired daily execution time. - Ensure the 'jobTemplate' matches the Job YAML definition. 4. Apply the YAML files: - Use 'kubectl apply -f job.yamr and 'kubectl apply -f cronjob.yamr to create the Job and CronJob on your cluster 5. Verify the CronJob: - Use ' kubectl get cronjobs' to check the status of the CronJob- - You should see the CronJob running and triggering the Job at the specified time.


NEW QUESTION # 157
......

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