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[General] 100% Pass Linux Foundation - CKAD Perfect Exam Sample Questions

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【General】 100% Pass Linux Foundation - CKAD Perfect Exam Sample Questions

Posted at 1/23/2026 03:36:05      View：79 | Replies：1        Print      Only Author   [Copy Link] 1#
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Linux Foundation Certified Kubernetes Application Developer (CKAD) certification is a professional certification that validates the skills and knowledge of a developer in designing, building, configuring, and deploying applications using Kubernetes. Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. The CKAD Certification is designed for developers who are proficient in Kubernetes and have experience in developing, deploying, and managing containerized applications.
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Linux Foundation CKAD certification exam is an online, proctored exam that can be taken from anywhere in the world. CKAD exam consists of a set of performance-based tasks that are designed to test the candidate's ability to use Kubernetes to deploy, manage and troubleshoot containerized applications. CKAD Exam is timed and candidates have 2 hours to complete the exam. To pass the exam, candidates must score 66% or higher.
Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q74-Q79):NEW QUESTION # 74
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 # 75
Refer to Exhibit.

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 # 76
You are managing a Kubernetes cluster that runs several microservices. One of these services, called "web-app", needs to have its pods scaled based on the current load. You have created a custom resource called "autoscaling.k8s.i0/v1 alphal" which represents the desired number of replicas for the "web-app" service- Implement a Kubernetes Controller that watches for changes in this custom resource and automatically scales the "web-app" Deployment accordingly.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the Custom Resource Definition (CRD):
- Define the custom resource "autoscaling.k8s.io/v1alpha1" using the following YAML file:

- Apply the CRD using 'kubectl apply -f crd.yamr 2. Create the Custom Resource: - Create an instance of the custom resource 'Autoscaling" with the desired number of replicas for the "web-app" Deployment:

- Apply the custom resource using 'kubectl apply -t autoscaling-yamr 3. Create the Kubernetes Controller: - Create a Kubernetes Controller that watches for changes in the "Autoscaling" custom resource and updates the "web-app" Deployment.

4. Deploy the Controller: - Build and deploy tne controller to your Kubernetes cluster. 5. Verify the Controllers Functionality: - Make a change to the "Autoscaling" custom resource (e.g., increase the desired replicas). - Observe that the "web-app" Deployment is automatically scaled based on the new desired replica count. This code implements a basic Kubernetes Controller that monitors the "Autoscaling" custom resource. When the desired replicas are changed, the controller updates the "web-appt' Deployment, ensuring the desired number of replicas is maintained. Note: This example assumes that the "web-app" Deployment exists in the same namespace as the "Autoscaling" custom resource. You might need to adapt the code for different deployments and namespaces.,

NEW QUESTION # 77
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.

  • A. Solution:
    Create the Pod:
    kubectl create -f http://k8s.io/docs/tasks/configu ... /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"
    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
  • B. Solution:
    Create the Pod:
    kubectl create -f http://k8s.io/docs/tasks/configu ... /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
Answer: B

NEW QUESTION # 78
You are running a web application within a Kubernetes cluster. The application consists of two pods, each with a resource request of 1CPU core and I GiB of memory. However, you've noticed that the application experiences performance issues during peak traffic hours. To mitigate these issues, you decide to implement resource quotas tor the namespace where the application runs. You want to ensure that the application pods receive adequate resources while preventing other applications from consuming excessive resources. Design and implement a resource quota for the namespace that sets limits for CPU and memory resources.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the Resource Quota:
- Create a YAML file (e.g., resource-quota.yaml') containing the following resource quota configuration:

2. Apply the Resource Quota: - Apply the resource quota to the 'web-app' namespace using the following command: bash kubectl apply -f resource-quota-yaml 3. Verify the Resource Quota: - Check the status of the resource quota using the following command: bash kubectl get resourcequotas -n web-app You should see the 'web-app-quota' listed with its defined limits and requests. 4. Monitor Resource Usage: - Use the 'kubectl describe resourcequota web-app-quota -n web-apps command to monitor the current resource usage within the 'web-apps namespace- This will show you the consumed resources against the defined limits. 5. Adjust the Resource Quota: - If the resource quota is too restrictive or not restrictive enough, you can adjust the values in the 'requests' and 'limits' fields in the 'resource. quota.yaml file and reapply the resource quota using 'kubectl apply'. - The resource quota limits the total amount of resources (CPU and memory) that can be consumed by all pods in the 'web-app' namespace. - The requests' field specifies the total amount of resources that pods in the namespace can request. - The 'limits' field sets a hard limit on the total amount of resources that pods can use, preventing them from exceeding these limits. - This ensures that the web application has access to the required resources while preventing other applications in the namespace from consuming all available resources. ,

NEW QUESTION # 79
......
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Posted at 2/4/2026 21:16:19        Only Author  2#
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