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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Troubleshooting | 30% | - Troubleshoot networking - Manage container stdout & stderr logs - Troubleshoot application failure - Evaluate cluster and node logging - Understand how to monitor applications - Troubleshoot cluster component failure |
| Topic 2: Services & Networking | 20% | - Use ClusterIP, NodePort, LoadBalancer service types and endpoints - Understand and use CoreDNS - Know how to use Ingress controllers and Ingress resources - Use the Gateway API to manage Ingress traffic - Define and enforce Network Policies - Understand connectivity between Pods |
| Topic 3: Workloads & Scheduling | 15% | - Understand Static Pods - Understand DaemonSets - Understand Deployments and rolling update/rollback - Use ConfigMaps and Secrets to configure applications - Use label selectors to schedule Pods - Understand resource limits and requests - Understand how scheduler works - Understand how to run multiple schedulers and configure scheduler policies |
| Topic 4: Storage | 10% | - Understand volume mode, access modes and reclaim policies - Understand persistent volume claims primitive - Understand how to configure applications with persistent storage - Understand Storage Classes and Persistent Volumes |
| Topic 5: Cluster Architecture, Installation & Configuration | 25% | - Manage role based access control (RBAC) - Implement and configure a highly-available control plane - Manage the lifecycle of Kubernetes clusters - Use Helm and Kustomize to install cluster components - Understand extension interfaces (CNI, CSI, CRI, etc.) - Understand CRDs, install and configure operators - Create and manage Kubernetes clusters using kubeadm - Prepare underlying infrastructure for installing a Kubernetes cluster |
>> CKA Prüfungsvorbereitung <<
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61. Frage
Your company has a Kubernetes cluster with a production namespace (prod) where only authorized engineers can access sensitive dat a. You need to implement an RBAC policy that allows only engineers with a specific label ("role: engineer") to read data from a specific secret named "secret-sensitive" in the "prod" namespace. Describe how you would configure RBAC to achieve this.
Antwort:
Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
Step 1: Define a Role that allows reading the specific secret:
Step 2: Create a RoleBinding to associate the Role with users labeled as "role: engineer":
Step 3: Ensure users have the necessary labels: - Users or service accounts must be assigned the label "role: engineer" to access the secret. - The Role restricts access to the "secret-sensitive" in the "prod" namespace to only "get" requests. - The RoleBinding associates the Role with users who have the label "role: engineer". - This ensures that only authorized engineers can read data from the "secret-sensitive" secret. ,
62. Frage
You have a Deployment named 'frontend-deployment' with 5 replicas of a frontend container. You need to implement a rolling update strategy that allows for a maximum of 2 pods to be unavailable at any given time. You also want to ensure that the update process is completed within a specified timeout of 8 minutes. If the update fails to complete within the timeout, the deployment should revert to the previous version. Additionally, you want to configure a 'post-start' hook for the frontend container that executes a health check script to verify the application's readiness before it starts accepting traffic.
Antwort:
Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas' to 5.
- Define 'maxUnavailable: 2' and 'maxSurge: 0' in the 'strategy.rollingUpdate' section to control the rolling update process.
- Configure a 'strategy.type' to 'RollingUpdate' to trigger a rolling update when the deployment is updated.
- Set Always' to ensure that the new image is pulled even if
it exists in the pod's local cache.
- Add a 'spec.progressDeadlineSeconds: 480' to set a timeout of 8 minutes for the update process.
- Add a 'spec.template.spec.containers[0].lifecycle.postStart' hook to define a script that executes a health check script before the container starts accepting traffic.
2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f frontend-deployment.yaml' 3. Verify the Deployment: - Check the status of the deployment using 'kubectl get deployments frontend-deployment' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Push a new image to the 'my.org/frontend:latest' Docker Hub repository. 5. Monitor the Deployment: - Use 'kubectl get pods -l app=frontend' to monitor the pod updates during the rolling update process. 6. Observe Rollback if Timeout Exceeds: - If the update process takes longer than 8 minutes to complete, the deployment will be rolled back to the previous version. This can be observed using 'kubectl describe deployment frontend-deployment' and checking the 'updatedReplicas' and 'availableReplicas' fields.,
63. Frage
You have a Kubernetes cluster with a multi-tenant setup where different teams manage their own applications. You need to enforce a policy where only developers from the "engineering" team can create deployments for applications within the "dev" namespace. How would you implement this using RBAC?
Antwort:
Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
Step 1: Create a Role for the "engineering" team
Step 2: Create a RoleBinding to assign the role to the "engineering" team
- The Role defines the permissions for the "engineering" team, allowing them to create deployments in the "dev" namespace. - The RoleBinding associates the "engineering-role" with the user "john.doe@example.com" (representing a developer from the "engineering" team). Step 3: Validate the setup - A developer from the "engineering" team should be able to create deployments in the "dev" namespace. - Other users or teams without the appropriate permissions should be prevented from creating deployments in the "dev" namespace.
64. Frage
A recent deployment of a new version of your application caused a large number of pods to enter a 'CrashLoopBackOff state. You need to identify the root cause of the issue and resolve it.
Antwort:
Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the Failing Pods:
- Use 'kubectl get pods -l app=' to list the pods in the Deployment.
- Identify the pods that are in the 'CrashLoopBackOff state.
2. Examine Pod Logs:
- Use 'kubectl logs -f to view the logs of the failing pods.
- Look for error messages, stack traces, or other clues that can point to the root cause of the crash.
- For example, errors related to:
- Missing dependencies or configuration: Check if the application is missing required configuration files or dependencies.
- Incorrect resource usage: Look for errors related to memory or CPU limitations.
- Network connectivity issues: Check for errors related to communication failures.
3. Check for Recent Changes:
- Review the changes made during the deployment:
- Analyze the updated deployment YAML file to identify any configuration changes that might have introduced the crash.
- Check for changes in container images, resource requests, or other settings.
4. Inspect Deployment Events:
- Use "kubectl describe pod ' to view the pod's events:
- Look for events related to the crash, such as "Back-off restarting failed container" or "Container restarting".
- The events might provide insights into the timing of the crashes and the potential reasons.
5. Verify Network Connectivity:
- Test network connectivity from within the failing pods:
- Use "kubectl exec -it -n bash' to enter a pod.
- Run 'ping or 'curl to test network connectivity to external resources.
6. Troubleshoot the Application Code:
- If the logs suggest a problem with the application code:
- Debug the application code: Analyze the code to find the source of the crashes.
- Consider rolling back the deployment to the previous version: Use 'kubectl rollout undo deployment ' to revert to the previous working version.
7. Address the Root Cause:
- Once you identify the root cause:
- Fix the underlying issue in the application code or deployment configuration.
- Apply the fixes: Update the deployment YAML file with the corrected configuration.
- Redeploy the application: Use "kubectl apply -f to redeploy the application with the fix.
65. Frage
List all persistent volumes sorted by capacity, saving the full kubectl output to
/opt/KUCC00102/volume_list. Use kubectl 's own functionality for sorting the output, and do not manipulate it any further.
Antwort:
Begründung:
See the solution below.
Explanation
solution
F:\Work\Data Entry Work\Data Entry\20200827\CKA\2 C.JPG
66. Frage
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