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Hot CKAD Latest Test Dumps | Efficient Exam CKAD Revision Plan: Linux Foundation Certified Kubernetes Application Developer Exam 100% Pass

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CNCF CKAD

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The CKAD certification is highly regarded in the industry and is recognized by many employers as a valuable credential for Kubernetes developers. Linux Foundation Certified Kubernetes Application Developer Exam certification demonstrates a candidate's ability to work with Kubernetes in a professional setting and shows that they have the skills and knowledge required to deploy and manage applications on Kubernetes clusters. The CKAD Certification is a great way for developers to showcase their skills and advance their careers in the fast-growing field of Kubernetes development.

Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q144-Q149):

NEW QUESTION # 144
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 # 145

Task
A deployment is falling on the cluster due to an incorrect image being specified. Locate the deployment, and fix the problem.

Answer:

Explanation:
See the solution below
Explanation
create deploy hello-deploy --image=nginx --dry-run=client -o yaml > hello-deploy.yaml Update deployment image to nginx:1.17.4: kubectl set image deploy/hello-deploy nginx=nginx:1.17.4

NEW QUESTION # 146
You are developing a new microservice that requires access to a database deployed in a different namespace. You want to configure a ServiceAccount and RoleBinding to provide the necessary permissions for the microservice to connect to the database.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a ServiceAccount:
- Create a ServiceAccount in the namespace where our microservice is deployed:

2. Create a Role: - Create a Role in the namespace where the database is deployed, granting access to the database resources:

3. Create a ROIeBinding: - Create a RoleBinding in the database namespace to bind the Role to the ServiceAccount:

4. Apply the Configuration: - Apply the created ServiceAccount, Role, and Roledinding using 'kubectl apply -r commands: bash kubectl apply -f my-microservice-sa_yaml kubectl apply -f my-database-access-role-yaml kubectl apply -f my-database-access-rolebinding.yaml 5. Configure the Microservice: - Mount the ServiceAccount token as a secret within the microservice's pod:

6. Verify Permissions: - Access the database from the microservice pod to verify that the required permissions are granted.

NEW QUESTION # 147
Context

Task
A deployment is falling on the cluster due to an incorrect image being specified. Locate the deployment, and fix the problem.

Answer:

Explanation:
create deploy hello-deploy --image=nginx --dry-run=client -o yaml > hello-deploy.yaml Update deployment image to nginx:1.17.4: kubectl set image deploy/hello-deploy nginx=nginx:1.17.4

NEW QUESTION # 148
You have a Deployment named 'web-app' running a containerized application with a complex startup sequence. The application relies on a database service that might be Slow to respond on startup. How would you implement Liveness and Readiness probes to ensure the application iS healthy and available to users, even during startup?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Liveness Probe:
- Create a 'livenessProbe' within the 'containers' section of your 'web-app' Deployment YAML-
- Choose a probe type appropriate tor your application. In this case, since the startup is complex, use an 'exec' probe.
- Specify the command to execute. This should be a simple command that checks if the application is up and ready to handle requests.
- Set 'initialDelaySecondS and 'periodSeconds' to provide sufficient time for the application to start.
- Configure 'failureThreshold' and 'successThreshold' to define how many tailed or successful probes trigger a pod restart.

2. Define Readiness Probe: - Create a 'readinessProbe' Within the 'containers' section of your 'web-apps Deployment YAML. - Use the same 'exec' probe type as for the liveness probe. - Specify a command that checks it the application is ready to serve traffic. - Set 'initialDelaySeconds' and 'periodSeconds' to control the frequency and delay of the probe. - Configure 'failureThreshold' and 'successThreshold' to handle failed or successful probe results.

3. Deploy the Deployment: - Apply the updated YAML file using 'kubectl apply -f web-app.yamr 4. Verify the Probes: - Observe the pod logs using 'kubectl logs to see when liveness and readiness probes are executed. - Use 'kubectl get pods -I app=web-app' to check the status of pods and see how liveness and readiness probes affect the pod's health and availability. 5. Test the Application: - Send requests to the application to verify that it is healthy and responsive, even during startup. - Liveness Probe: The ' livenessProbe' checks if the application is still healthy and running. If the probe fails repeatedly, the Kubernetes will restart the pod to fix the issue. This ensures that unhealthy pods are removed and replaced with healthy ones. - Readiness Probe: The 'readinessproa' cnecks it the application iS ready to receive traffic. This allows Kubernetes to delay sending traffic to a pod until it is fully initialized and prepared to serve requests. It helps prevent users from encountering errors during startup. By using both liveness and readiness probes, you can ensure your application is healthy and available to users, even during complex startup sequences.,

NEW QUESTION # 149
......

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