NEW LINUX FOUNDATION CKAD LEARNING MATERIALS - CKAD RELIABLE EXAM CAMP

New Linux Foundation CKAD Learning Materials - CKAD Reliable Exam Camp

New Linux Foundation CKAD Learning Materials - CKAD Reliable Exam Camp

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Linux Foundation CKAD certification exam is one of the most valuable certification exams. IT industry is under rapid development in the new century, the demands for IT talents are increased year by year. Therefore, a lots of people want to become the darling of the workplace by IT certification. How to get you through the Linux Foundation CKAD certification? The questions and the answers RealExamFree Linux Foundation provides are your best choice. It is difficult to pass the test and the proper shortcut is necessary. Linux Foundation Business Solutions RealExamFree CKAD Dumps rewritten by high rated top IT experts to the ultimate level of technical accuracy. The version is the most latest and it has a high quality products.

Linux Foundation CKAD Certification Exam is an excellent certification program for developers who work with Kubernetes. Linux Foundation Certified Kubernetes Application Developer Exam certification exam is designed to test the candidate's ability to deploy, manage and troubleshoot Kubernetes applications. Linux Foundation Certified Kubernetes Application Developer Exam certification exam is an online, proctored exam that can be taken from anywhere in the world. Linux Foundation Certified Kubernetes Application Developer Exam certification is ideal for developers who are looking to advance their careers in the field of cloud-native application development and for organizations who are looking to identify qualified professionals who can help them to build and manage Kubernetes applications.

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CKAD Desktop Practice Exam Software

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Linux Foundation Certified Kubernetes Application Developer (CKAD) exam is a certification program that tests the skills of developers in building and deploying containerized applications using Kubernetes. Kubernetes has become the de-facto standard for container orchestration and management, making it an essential skill for developers and DevOps engineers. The CKAD certification is designed to validate the knowledge and skills of developers in Kubernetes application development, including deploying applications, configuring various Kubernetes objects, and troubleshooting common issues.

The CKAD Exam is a hands-on, performance-based exam that tests the candidate's ability to design and deploy applications on a Kubernetes cluster. CKAD exam is conducted online and consists of 19 tasks that must be completed within 2 hours. The tasks are designed to simulate real-world scenarios and require the candidate to demonstrate their ability to work with Kubernetes objects, configure networking and storage, troubleshoot issues, and deploy applications in a secure and reliable manner.

Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q160-Q165):

NEW QUESTION # 160
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 # 161

Context
A pod is running on the cluster but it is not responding.
Task
The desired behavior is to have Kubemetes restart the pod when an endpoint returns an HTTP 500 on the
/healthz endpoint. The service, probe-pod, should never send traffic to the pod while it is failing. Please complete the following:
* The application has an endpoint, /started, that will indicate if it can accept traffic by returning an HTTP 200.
If the endpoint returns an HTTP 500, the application has not yet finished initialization.
* The application has another endpoint /healthz that will indicate if the application is still working as expected by returning an HTTP 200. If the endpoint returns an HTTP 500 the application is no longer responsive.
* Configure the probe-pod pod provided to use these endpoints
* The probes should use port 8080

Answer:

Explanation:
See the solution below.
Explanation
Solution:
apiVersion: v1
kind: Pod
metadata:
labels:
test: liveness
name: liveness-exec
spec:
containers:
- name: liveness
image: k8s.gcr.io/busybox
args:
- /bin/sh
- -c
- touch /tmp/healthy; sleep 30; rm -rf /tmp/healthy; sleep 600
livenessProbe:
exec:
command:
- cat
- /tmp/healthy
initialDelaySeconds: 5
periodSeconds: 5
In the configuration file, you can see that the Pod has a single Container. The periodSeconds field specifies that the kubelet should perform a liveness probe every 5 seconds. The initialDelaySeconds field tells the kubelet that it should wait 5 seconds before performing the first probe. To perform a probe, the kubelet executes the command cat /tmp/healthy in the target container. If the command succeeds, it returns 0, and the kubelet considers the container to be alive and healthy. If the command returns a non-zero value, the kubelet kills the container and restarts it.
When the container starts, it executes this command:
/bin/sh -c "touch /tmp/healthy; sleep 30; rm -rf /tmp/healthy; sleep 600" For the first 30 seconds of the container's life, there is a /tmp/healthy file. So during the first 30 seconds, the command cat /tmp/healthy returns a success code. After 30 seconds, cat /tmp/healthy returns a failure code.
Create the Pod:
kubectl apply -f https://k8s.io/examples/pods/probe/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 "k8s.gcr.io/busybox"
23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Pulled Successfully pulled image
"k8s.gcr.io/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 "k8s.gcr.io/busybox"
36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Pulled Successfully pulled image
"k8s.gcr.io/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 1m


NEW QUESTION # 162
You have a Deployment named 'frontend-deployment that runs a frontend application. This deployment is configured to use a ' StatefulSet for its backend service. However, during a recent update, the update process for the 'StatefulSet failed. You need to understand how this failure mignt have impacted the deployment and the frontend application. Explain tne possible causes of this failure and how it might have affected the frontend service.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
The failure of a StatefulSet update can have significant repercussions for the 'frontend-deployment and its frontend application. Let's analyze the possible causes and their impact
1. Persistent Volume Provisioning Issues:
- StatetulSets rely on persistent volumes to maintain data and state across pod restarts.
- If the persistent volume provisioning fails, the pods in the StatefulSet might be unable to access their persistent volumes, causing application errors.
2. StatefulSet Pod Update Errors:
- If the update process for the StatefulSet pods encounters errors during the update, like image pull failures or container startup issues, the update might fail, leading to partially updated pods or even the removal of existing pods.
3. StatefulSet Pod Termination Issues:
- StatetulSets use a strict update strategy where pods are terminated in sequence based on their ordinal numbers.
- If the termination of a specific pod fails, tne update process will be interrupted, leaving the StatefulSet in a partially updated state. Impact on the Frontend Application:
- Data Loss: If the StatefulSet's persistent volume provisioning fails, the backend service might lose data, leading to data inconsistencies and potential loss for the frontend application.
- Service Interruptions: The frontend application might experience service interruptions due to the backend service becoming unavailable or partially functional during the StatefulSet update failure-
- Functionality Degradation: If the StatefulSet update process results in partially updated pods, the frontend application might encounter degraded functionality or erratic benavior Troubleshooting:
- Examine the ' StatefulSet' and its pod logs for error messages.
- Check the persistent volume provisioning status and ensure the volumes are correctly mounted to the pods.
- Analyze the pod events for any failures during the update process.


NEW QUESTION # 163
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 # 164
You have a Deployment that runs a critical service with 5 replicas. You need to update the service with a new image, but you want to ensure that only one replica is unavailable at a time during the update process. You also want to control how long the update process can take. How would you implement this using the 'rollinglJpdate' strategy?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAMLI
- Set 'strategy.type' to 'RollingLJpdate'
- Configure 'strategy.rollingupdate.maxunavailable' to 'I' to limit the number of unavailable replicas during the update.
- Set 'strategy-rollinglJpdate.maxSurge' to to allow for a maximum of six replicas during the update process.

2. Control Update Duration (Optional): - Optionally, you can use 'strategy-rollingUpdate.partition' to control the number of pods updated at a time. This allows you to slow down the update process by updating fewer pods at once- For example, setting 'partition' to ' 2' would update only two pods at a time.

3. Create or IJpdate the Deployment: - Apply the updated YAML file using 'kubectl apply -f my-critical-service-deployment.yaml' 4. Trigger the Update: - Update the image of your application to a newer version. - You can trigger the update by pushing a new image to your container registry. 5. Monitor the Update: - Use 'kubectl get pods -I app=my-critical-service to monitor the pod updates during the rolling update process. - Observe the pods being updated one at a time, ensuring that there's always at least four replicas available. 6. Check for Successful Update: - Once the update is complete, use 'kubectl describe deployment my-critical-service' to verify that the 'updatedReplicaS field matches the 'replicas' field.,


NEW QUESTION # 165
......

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