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The CKAD exam is conducted by the Linux Foundation, a non-profit organization that supports the development of open-source technologies. The Linux Foundation has a reputation for offering some of the most respected certifications in the IT industry, and CKAD is no exception. CKAD exam is designed to test the practical skills of developers and requires them to solve real-world problems using Kubernetes. The CKAD Certification is widely recognized and respected in the industry, and it is an excellent way for developers to demonstrate their expertise in Kubernetes.
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Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q114-Q119):
NEW QUESTION # 114
You have a ConfigMap named 'my-app-config' that stores environment variables for your application. You want to dynamically update tne values in the ConfigMap without restarting the pods. How would you achieve this using a Kubernetes Patch?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Get the Existing ConfigMap Data:
bash
kubectl get configmap my-app-config -o yaml > my-app-config.yaml
2. Modify the YAML File:
- Open 'my-app-config.yaml and update the values in the 'data' section as required- For example, if you want to change the value of 'DATABASE_HOST to Sdb.new.example.coms:
3. Patch the ConfigMap: bash kubectl patch configmap my-app-config -p "S(cat my-app-config_yaml)" 4. Verify the Changes: bash kubectl get configmap my-app-config -o yaml 5. Observe the Updated Values: - The pods will automatically pick up the updated values without the need for restarting. - You can confirm this by checking the environment variables within the pod using 'kubectl exec -it - bash -c 'env" This method allows for dynamic updates to the ConfigMap without restarting the pods, making it a convenient way to manage environment variables in your Kubernetes applications.
NEW QUESTION # 115
You have a Deployment named swordpress-deployment' running two pods for a WordPress website. The website is experiencing intermittent slowdowns and high latency. You suspect it might be due to excessive resource consumption by the Pods, particularly memory usage. To diagnose the issue, you need to:
Analyze the logs of the WordPress pods to identify any potential causes of the slowdowns.
Examine the resource consumption of tne Pods, especially memory utilization.
Identify and analyze any error messages or warnings that might indicate a problem.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Get Logs:
- Use 'kubectl logs -f wordpress-deployment-pod-name' to get the logs from one of the pods. Replace 'wordpress-deployment-pod-name' with the actual name of the pod.
- Examine the logs for any error messages, warning messages, or anything that might indicate a performance issue. Look for messages related to memory pressure, disk l/o, or CPU usage.
- Example Log Analysis:
[INFO] Memory usage is high. Consider increasing memory limit
[ERROR] Database connection timeout.
2. Examine Resource Usage:
- Use kubectl describe pod wordpress-deployment-pod-names to check the resource consumption of the pod.
- Focus on the 'Containers' section, specifically the ' Memory' and 'CPU' usage- Check if these resources are approaching or exceeding the limits defined in the pod spec.
- Example Resource Usage Analysis:
Containers:
wordpress:
Memory: 1.97Gi (19.7% of Limit)
CPU: 400m (40% of Limit)
- If memory usage is consistently high, it indicates that your WordPress application may need more memory resources.
3. Analyze for Errors:
- If the logs contain error messages, carefully analyze them for potential issues.
- For example, if you see errors related to database connections, this could indicate a problem with your database configuration or capacity.
- Example Error Analysis:
- Errors related to database connections might suggest that the database server is under load or experiencing performance issues.
- Errors related to disk 1/0 mignt indicate problems with the persistent volumes used by the pods.
Troubleshooting based on Analysis:
- If memory usage is the problem:
- Increase the memory limit for the WordPress container within your deployment YAML.
- Re-apply the deployment to update the pods: 'kubectl apply -f wordpress-deploymentyamr
- Monitor the resource usage again to confirm that the memory usage has improved.
- If the logs show database connection issues:
- Check the configuration of your database server and ensure it has sufficient resources (CPU, memory, etc.).
- Verify that the database server is accessible from the WordPress pods.
- If your database server is hosted on a separate pod or service, scale it up to handle the increased load.
- If the logs show other issues:
- Refer to the specific error messages and consult the relevant documentation for your WordPress application or the Kubernetes components involved.
- Look for potential solutions based on the specific errors encountered. ,
NEW QUESTION # 116
Refer to Exhibit.
Given a container that writes a log file in format A and a container that converts log files from format A to format B, create a deployment that runs both containers such that the log files from the first container are converted by the second container, emitting logs in format B.
Task:
* Create a deployment named deployment-xyz in the default namespace, that:
* Includes a primary
lfccncf/busybox:1 container, named logger-dev
* includes a sidecar Ifccncf/fluentd:v0.12 container, named adapter-zen
* Mounts a shared volume /tmp/log on both containers, which does not persist when the pod is deleted
* Instructs the logger-dev
container to run the command
which should output logs to /tmp/log/input.log in plain text format, with example values:
* The adapter-zen sidecar container should read /tmp/log/input.log and output the data to /tmp/log/output.* in Fluentd JSON format. Note that no knowledge of Fluentd is required to complete this task: all you will need to achieve this is to create the ConfigMap from the spec file provided at /opt/KDMC00102/fluentd-configma p.yaml , and mount that ConfigMap to /fluentd/etc in the adapter-zen sidecar container
Answer:
Explanation:
Solution:
NEW QUESTION # 117
You have a Deployment named 'my-app-deployment' that runs 3 replicas of an application container. The application container requires access to a ConfigMap named 'my-app-config' . You want to configure your Deployment to use Kustomize to automatically update the ConfigMap's data within the containers whenever the ConfigMap is updated. You also need to configure a rolling update strategy for the Deployment that allows for a maximum of one pod to be unavailable during the update process.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a ConfigMap with the necessary data:
Apply tne ConfigMap using 'kubectl apply -f my-app-config.yaml' 2. Create a Kustomization file for your Deployment:
This file defines the resources that Kustomize will manage and the patch file to apply 3. Create a patch file to reference the ConfigMap:
This patch adds a 'envFrom' section to the container, referencing the 'my-app-config' ConfigMap. 4. Create your Deployment YAML file:
5. Apply the Kustomize configuration: - Navigate to the directory containing your Kustomization file. - Run the command 'kustomize build' to build the Kustomize resources. - Apply the built resources using 'kubectl apply -f kustomization_yaml' 6. Update the ConfigMap: Modify the data within the 'my-app-config' ContigMap. You can either edit the YAML file directly or use 'kubectl patch' to update specific values. 7. Verify the update: - Observe the logs of your 'my-apps containers to confirm that the environment variable has been updated with the new ConfigMap data. - Use 'kubectl get pods -l app=my-app' to monitor the rolling update process. You should see one pod at a time being updated with the new ConfigMap data. Note: The rolling update strategy ensures that only one pod is unavailable at a time during the update process, minimizing downtime. Kustomize ensures that the ConfigMap changes are automatically applied to the Deployment, keeping your application up-to-date.]
NEW QUESTION # 118
Refer to Exhibit.
Task:
1) Fix any API depreciation issues in the manifest file -/credible-mite/www.yaml so that this application can be deployed on cluster K8s.
2) Deploy the application specified in the updated manifest file -/credible-mite/www.yaml in namespace cobra
Answer:
Explanation:
Solution:
NEW QUESTION # 119
......
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