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Linux Foundation CKAD Exam Overview:

Certification Vendor:Linux Foundation
Exam Name:Linux Foundation Certified Kubernetes Application Developer Exam
Exam Number:CKAD
Exam Format:Online proctored, Hands-on lab exam, Kubernetes CLI-based tasks, Performance-based
Exam Price:USD 395
Real Exam Qty:15-20 performance-based tasks
Passing Score:66%
Exam Duration:120 minutes
Certificate Validity Period:3 years
Related Certifications:Certified Kubernetes Security Specialist (CKS)
Certified Kubernetes Administrator (CKA)
Available Languages:English
Recommended Training:CKAD Exam Preparation Course (Linux Foundation)
Exam Registration:Linux Foundation Certification Portal
Sample Questions:Linux Foundation CKAD Sample Questions
Exam Way:Online proctored, remote performance-based lab environment
Pre Condition:No formal prerequisites, but hands-on Kubernetes experience recommended
Official Syllabus URL:https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

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The CKAD Certification Exam is a hands-on, performance-based exam, which means that the candidate needs to complete a set of tasks within a specified time limit. CKAD exam is conducted online and requires the candidate to have access to a Kubernetes cluster. Linux Foundation Certified Kubernetes Application Developer Exam certification exam tests the candidate's ability to understand Kubernetes architecture, deploy and manage applications, configure and run services, and troubleshoot common issues. Linux Foundation Certified Kubernetes Application Developer Exam certification exam is a testament to the candidate's practical skills and knowledge of Kubernetes, and it is recognized globally by organizations looking to hire Kubernetes professionals.

Linux Foundation Certified Kubernetes Application Developer (CKAD) Exam is a certification program designed to test and validate the skills of individuals in the field of Kubernetes application development. It is an online, proctored exam that requires candidates to demonstrate their knowledge and ability to design, build, configure, and expose cloud native applications for Kubernetes.

Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q187-Q192):

NEW QUESTION # 187
You have a Deployment for a web application that uses a separate Redis cache pod for session management. You want to ensure that each web application pod can access a dedicated Redis instance for session management and avoid contention. Explain how you can use a PersistentVolumeClaim and StatetulSet to achieve this.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Create a PersistentVoIumeClaim:
- Create a PersistentVoIumeCIaim (PVC) to request persistent storage for each Redis instance.
- Specify the storage size, access modes, and other requirements based on your needs.
- Example:

2. Create a StatefulSet: - Define a StatefulSet for the Redis pods. - Associate each Redis pod with a unique PVC, ensuring that each pod gets its own dedicated persistent volume. - Example:

3. Configure the Deployment: - Denne tne web application pod Within a Deployment. - Use a Service (e.g., 'redis-service') to access the Redis instances. - Make sure the web application's code can access the Redis instances using the service name. - Example:

4. Deploy and Test - Deploy tne PersistentVolumeClaim, StatefulSet, and Deployment. - Test the web application to ensure that each pod can access its own dedicated Redis instance and session data is correctly managed Without contention. 5. Important: - StatefulSets ensure that each pod has a unique hostname and persistent storage, making them suitable for managing stateful applications. - This approach helps isolate Redis instances, preventing session data conflicts and ensuring the scalability of your web application. ,


NEW QUESTION # 188
Refer to Exhibit.

Set Configuration Context:
[student@node-1] $ | kubectl
Config use-context k8s
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:
<namespace>/<pod>

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:
To find the broken pod and store its name and namespace to /opt/KDOB00401/broken.txt, you can use the kubectl get pods command and filter the output by the status of the pod.
kubectl get pods --field-selector=status.phase=Failed -o jsonpath='{.items[*].metadata.namespace}/{.items[*].metadata.name}' > /opt/KDOB00401/broken.txt This command will list all pods with a status of Failed and output their names and namespaces in the format <namespace>/<pod>. The output is then written to the /opt/KDOB00401/broken.txt file.
To store the associated error events to a file /opt/KDOB00401/error.txt, you can use the kubectl describe command to retrieve detailed information about the pod, and the grep command to filter the output for error events.
kubectl describe pods <pod-name> --namespace <pod-namespace> | grep -i error -B5 -A5 > /opt/KDOB00401/error.txt Replace <pod-name> and <pod-namespace> with the name and namespace of the broken pod you found in the previous step.
This command will output detailed information about the pod, including error events. The grep command filters the output for lines containing "error" and also prints 5 lines before and after the match.
To fix the issue, you need to analyze the error events and find the root cause of the issue.
It could be that the application inside the pod is not running, the container image is not available, the pod has not enough resources, or the liveness probe configuration is incorrect.
Once you have identified the cause, you can take appropriate action, such as restarting the application, updating the container image, increasing the resources, or modifying the liveness probe configuration.
After fixing the issue, you can use the kubectl get pods command to check the status of the pod and ensure


NEW QUESTION # 189
You have a Helm cnan named 'my-app' that deploys a web application. The chan uses a 'service' and 'deployment' to expose the application. However, the chart currently deploys the application using a static 'image: my-app:v1.0.0' in the 'deployment section. How can you modify the Helm chan to dynamically pull the latest image tag from a Git tag tor the 'my-app' repository?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Configure Git Tag as Image Tag:
- In your 'my-app/values.yamr, add a new variable to hold the desired Git tag:

2. Modify the Deployment Template:


3. Fetch Git Tag using 'helm template's - Before deploying the chart, use 'helm template to generate the template with the Git tag injected. Assuming your Git repository is named 'my-repo' and the tag iS 'vl.1.0', run: bash helm template my-app -set image-tag=$(git Is-remote --tags my-repo I grep vl .1.0 | awk '{print $2}' | cut -f3) 4. Deploy the Chart: - Now you can deploy the Helm chart using the generated template or by setting the 'image-tag' value directly in the 'helm install' command. For example: bash helm install my-app my-appl --set image.tag=S(git Is-remote -tags my-repo I grep v1.1.0 | awk '{print $2)' | cut -d'/' -f3) - When deploying, the chart will automatically use the specified Git tag as the image tag for the deployment.


NEW QUESTION # 190

Task:
The pod for the Deployment named nosql in the craytisn namespace fails to start because its container runs out of resources.
Update the nosol Deployment so that the Pod:
1) Request 160M of memory for its Container
2) Limits the memory to half the maximum memory constraint set for the crayfah name space.

Answer:

Explanation:
See the solution below.
Explanation
Solution:




NEW QUESTION # 191
You have a stateful application that requires persistent storage. You need to create a PersistentV01umeClaim (PVC) that Will be used by a Deployment to store application dat a. The PVC should have the following specifications:
- Access Modes: ReadWriteOnce
- Storage Class: 'fast-storage
- Storage Size: IOGi
Provide the YAML code for creating this PVC.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. create the PVC YAML file:

2. Apply the PVC YAML using kubectl: bash kubectl apply -f my-pvc.yaml 3. Verify the PVC creatiom bash kubectl get pvc You should see the PVC ' my-pvc' listed with the specified access mode, storage class, and size.,


NEW QUESTION # 192
......

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