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| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Certified Kubernetes Application Developer (CKAD) Exam |
| Exam Number: | CKAD |
| Passing Score: | 66% |
| Available Languages: | English |
| Exam Format: | Performance-based, Command-line |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 15-20 (performance-based tasks) |
| Related Certifications: | Certified Kubernetes Application Developer (CKAD) |
| Exam Price: | USD 445 |
| Sample Questions: | Linux Foundation CKAD Sample Questions |
| Exam Way: | Online, proctored exam via PSI Secure Browser (performance-based in a command-line environment). |
| Pre Condition: | No mandatory prerequisites, but working knowledge of container runtimes and microservice architecture is recommended. |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/ |
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The CKAD Certification is an industry-recognized credential that can help developers advance their careers. Employers value the CKAD certification because it demonstrates that a developer has the skills and knowledge necessary to work with Kubernetes. Linux Foundation Certified Kubernetes Application Developer Exam certification can also increase a developer's earning potential and open up new job opportunities.
NEW QUESTION # 170 
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:
See the solution below.
Explanation:
Solution:
NEW QUESTION # 171
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 # 172
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 # 173
You are developing a new application that requires access to multiple services running in different namespaces. To simplify the configuration and ensure that the application can easily discover these services, you want to use a ServiceAccount with a cluster-scoped Role that grants access to services across namespaces.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a ClusterRole:
- Create a ClusterRole that grants access to the required services in all namespaces
2. Create a ClusterR01e3inding: - Create a ClusterRole8inding to bind the ClusterRole to the ServiceAccount:
3. Create a ServiceAccount - Create a ServiceAccount in the namespace where the application is deployed:
4. Apply the Configuration: - Apply the ClusterRole, ClusterRoleBinding, and ServiceAccount using 'kL1bectl apply -f: bash kubectl apply -f access-services-cluster-role yaml kubectl apply -f access-services-cluster-role-binding.yaml kubectl apply -f my-app-sa.yaml 5. Configure the Application: - Ensure that the applications pod is using the created ServiceAccount
6. Test the Application: - Run the application and verify that it can successfully access the services in different namespaces. ,
NEW QUESTION # 174
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 # 175
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