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| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Certified Kubernetes Application Developer (CKAD) Exam |
| Exam Number: | CKAD |
| Passing Score: | 66% |
| Certificate Validity Period: | 2 years |
| Exam Price: | $445 USD |
| Related Certifications: | Certified Kubernetes Security Specialist (CKS) Certified Kubernetes Administrator (CKA) |
| Real Exam Qty: | 15-20 |
| Available Languages: | Simplified Chinese, Japanese, English |
| Exam Format: | Performance-based, Hands-on tasks, Command-line based |
| Exam Duration: | 120 minutes |
| Recommended Training: | Kubernetes for Developers (LFD259) Introduction to Kubernetes |
| Exam Registration: | Official Registration |
| Sample Questions: | Linux Foundation CKAD Sample Questions |
| Exam Way: | Online, remotely proctored |
| Pre Condition: | No formal prerequisites |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/ |
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Linux Foundation Certified Kubernetes Application Developer (CKAD) exam is a certification program designed to evaluate and certify the skills and knowledge of developers in using Kubernetes to develop cloud-native applications. The CKAD Certification is recognized worldwide as a benchmark for Kubernetes application development expertise, and it validates the ability of developers to create and deploy cloud-native applications using Kubernetes.
NEW QUESTION # 28
You have a Deployment named 'my-app-deployment' running three replicas of an application container. You need to implement a rolling update strategy were only one pod is updated at a time. Additionally, you need to ensure tnat tne update process is triggered automatically whenever a new image is pushed to your private Docker registry.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas' to 2.
- Define 'maxunavailable: 1' and 'maxSurge: O' in the 'strategy-rollinglJpdate' section to control the rolling update process.
- Configure a 'strategy.types to 'Rollingupdates to trigger a rolling update wnen the deployment is updated.
- Add a 'spec-template.spec.imagePullP01icy: Always' to ensure tnat tne new image is pulled even if it exists in the pod's local cache.
- Add a 'spec-template-spec-imagePullSecrets' section to provide access to your private Docker registry. Replace 'registry-secret with the actual name of your secret.
2. Create the Deployment - Apply the updated YAML file using 'kubectl apply -f my-app-deployment.yamr 3. Verify the Deployment: - Check the status of the deployment using 'kubectl get deployments my-app-deployment' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Push a new image to your private Docker registry with a tag like 'your-private-registry.com/your-namespacemy-app:latest. 5. Monitor the Deployment: - Use 'kubectl get pods -l app=my-apps to monitor the pod updates during the rolling update process. You will observe that one pod is terminated at a time, while one new pod with the updated image is created. 6. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment my-app-deployment' to see that the updatedReplicas' field matches the 'replicas' field, indicating a successful update. ]
NEW QUESTION # 29
You are running a web application that requires high availability and resilience. You have implemented a deployment using a Deployment object in Kubernetes, but you want to ensure that your application can automatically recover from pod failures. Design a strategy using annotations that will enable automatic pod restarts in case of application failures.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define an Annotation: Add an annotation called ' kubernetes-io/restart-policy' to your Deployment's 'spec-template-metadata' section, setting its value to 'Always'.
2. Trigger Application Failures: You can intentionally trigger failures in your pods to test the restart policy You can use 'kubectl exec' to run commands inside a pod and simulate an application failure using 'Pkill -f s. For example, you can run a command like 'Pkill -f web-app' to terminate the web app process. 3. Monitor Pod Restarts: Observe the pods in your deployment using 'kubectl get pods -l app=web-app' . You will see that Kubernetes automatically restarts pods where the application has failed, ensuring your application remains available. 4. Confirm Automatic Restart Verify the 'restartCount of the affected pods using 'kubectl describe pod This will show the number of times the pod has been restarted due to the application failure. 5. Alternative Restart Policies: While 'Always' is the default policy, you can also use other restart policies like 'onFailure' (restarts only it the pod exits due to an error) or 'Never' (doesn't restart tne pod regardless of the reason for failure). Use the ' kubernetes.wrestart-policy' annotation to set these alternative policies as needed for specific applications. ,
NEW QUESTION # 30
Context
Task:
A Dockerfile has been prepared at -/human-stork/build/Dockerfile
1) Using the prepared Dockerfile, build a container image with the name macque and lag 3.0. You may install and use the tool of your choice.
2) Using the tool of your choice export the built container image in OC-format and store it at -/human stork/macque 3.0 tar
Answer:
Explanation:
Solution:
NEW QUESTION # 31
You have a Kustomization file that uses a resource patch to modify the deployment of an Nginx service. The patch uses the field to set the CPLJ request for the container to 500m. However, you've noticed that this patch is no longer working as expected. You've been informed that the field has been deprecated and replaced with a new field structure in newer Kubernetes API versions. Explain how to update the Kustomization file to accommodate this change, ensuring compatibility with both older and newer Kubernetes versions.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify tne New Field Structure: Research the updated field structure for container resource definitions in the newer Kubernetes API version. The new structure likely utilizes nested resource fields for each container, like instead of a flat structure.
2. Update the Kustomization Patch: Modify the resource patch in your Kustomization file to use the updated field structure. If the newer field structure is 'spec-template-spec-containers[l.resources.requests.cpu' , update your patch accordingly. This could involve changing the patch's path or using a different patch strategy, such as a strategic merge patch.
3. Consider Conditional Patches: If you need to support both older and newer Kubernetes versions, utilize conditional patches in your Kustomization file. This allows you to apply different patcnes based on the Kubernetes API version detected. You can use Kustomize's 'patchJson6902' strategy With a conditional statement to apply the correct patch depending on the API version.
4. Test the Updated Kustomization: Deploy your Kustomization to a cluster running both older and newer Kubernetes versions. Validate that the CPU requests are correctly applied to the Nginx deployment containers in each version. Verify that the patcnes are being applied appropriately based on the detected Kubernetes API version. 5. Document Changes: Ensure that the updated Kustomization file and any conditional logic are well-documented to prevent future confusion or errors when deploying to different Kubernetes environments. By following these steps, you can successfully update your Kustomization file to accommodate the deprecated field structure and ensure compatibility with different Kubernetes API versions. This will allow you to manage and configure your deployments effectively, even as Kubernetes evolves.
NEW QUESTION # 32
You have a Deployment named 'wordpress-deployment' that runs 3 replicas of a WordPress container. You want to ensure that the deployment is always updated with the latest image available in the 'wordpress/wordpress:latest' Docker Hub repository However, you need to implement a rolling update strategy that allows for a maximum ot two pods to be unavailable during the update process.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. IJpdate the Deployment YAML:
- Update the 'replicas to 3-
- Define 'maxunavailable: 2 and 'maxSurge: in the 'strategy.rollingupdate' section.
- Configure a 'strategy-type' to 'RollinglJpdate' to trigger a rolling update when the deployment is updated.
- Add a 'spec-template-spec-imagePullPolicy: Always' to ensure that the new image is pulled even if it exists in the pod's local cache.
2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f wordpress-deployment.yamr 3. Verify the Deployment: - Check tne status of the deployment using 'kubectl get deployments wordpress-deployment' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Push a new image to the 'wordpress/wordpress:latest Docker Hub repository. 5. Monitor the Deployment: - Use 'kubectl get pods -I app=wordpress' to monitor the pod updates during the rolling update process. You will observe that two pods are terminated at a time, while two new pods with the updated image are created. 6. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment wordpress-deployment' to see that the 'updatedReplicaS field matches the 'replicas' field, indicating a successful update.
NEW QUESTION # 33
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