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Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q13-Q18):

NEW QUESTION # 13
Context

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:
Solution:

NEW QUESTION # 14
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 # 15
You have a ConfigMap named 'database-config' tnat stores sensitive information for connecting to a database. You want to ensure that this ConfigMap is only accessible by a specific namespace and not by other namespaces in the cluster.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Namespace:
bash
kubectl create namespace my-database-namespace
2. Move the ConfigMap to the Namespace:
bash
kubectl move configmap database-config -n my-database-namespace
3. Configure Role-Based Access Control (RBAC):
- Create a Role:

- Create a RoleBinding:

- Replace 'my-service-account with the actual name of the service account that needs access to the ConfigMap. 4. Apply the Role and Role3inding: bash kubectl apply -f database-config-reader.yaml kubectl apply -f database-config-reader-binding.yaml 5. Verify Access: - From the 'my-database-namespace': bash kubectl get configmap database-config -n my-database-namespace The command should succeed as the service account in this namespace has the necessary permissions. - From a different namespace: bash kubectl get configmap database-config -n another-namespace This command should fail as the service account in this namespace does not have access to the ConfigMap. This solution uses RBAC to restrict access to the ConfigMap to only the service account in the 'my-database-namespace'. This ensures that sensitive information is only accessible by authorized entities within the cluster,

NEW QUESTION # 16
You are running a multi-container application on Kubernetes, and you need to update the image of a specific container within the pod without affecting the other containers. You are using a Deployment resource to manage the pods. How can you achieve this update using imperative commands?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the Pod:
- Use 'kubectl get pods -l to list the pods managed by your deployment. Replace
- Identify the pod that needs the container image update.
2. Identify the Container:
- Use ' kubectl describe pod to display the pod's details, including its containers.
- Note the name of the container you want to update.
3. Update the Container Image:
with the label you've defined for your deployment.
- Use 'kubectl exec -it -container bash' to create an interactive shell within the specified container.
- Inside the shell, update the image for the container using 'docker pull ' (Replace with the new container image you want to use).
- Exit the shell using 'exit
4. Restart the Container:
- Use 'kubectl exec -it -container bash' to access the container again.
- Run 'docker restan to restart the container with the new image.
- Exit the shell using 'exit'.
5. Verify the Image Update:
- Run 'kubectl describe pod to check the updated pod details. Verify that the container image iS now the new one you pulled.
Note: This approach updates the container image in the existing pod. If you want to apply the update to all pods managed by the Deployment, you'll need to update the Deployment configuration itself. ,

NEW QUESTION # 17
You have a Kubernetes deployment named 'wordpress-deployment' running multiple instances of a WordPress application. You want to implement a rolling update strategy with a 'maxSurge' of 1 and 'maxi-Jnavailable' of O. Additionally, you need to ensure that the update process is automatically triggered when a new image is pushed to the Docker Hub repository 'wordpress-image:latests. Implement a Kustomization file to achieve this.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a 'kustomization.yamr file in your desired directory.

2. Create a 'deployment-yamr file (or use an existing one) with the following structure.

3. Create a 'patch.yamr file with the following content to configure rolling update and automatic updates:

4. Apply the Kustomization: bash kubectl apply -k - The 'kustomization.yaml file defines the resources (the 'deployment.yamr file) and the patches to apply. - The 'deployment.yamr file contains the base configuration for the deployment. - The 'patch.yamr file applies a strategic merge patch to the deployment, configuring rolling updates and automatic updates triggered by new images. - The 'maxSurgew and 'maxunavailable' settings in the 'patch.yamr define the maximum number ot pods that can be added or removed during the update process. - The 'imagePullPolicy: AlwayS ensures that the new image is pulled from Docker Hub even if it exists in the pod's local cache, triggering the update.

NEW QUESTION # 18
......

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