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Linux Foundation CKA (Certified Kubernetes Administrator) Program Certification Exam is a highly sought-after certification for IT professionals who work with Kubernetes. Kubernetes is an open-source platform that is used to automate the deployment, scaling, and management of containerized applications. The CKA certification program is designed to test the skills and knowledge of IT professionals who work with Kubernetes.

The CKA exam is designed for IT professionals who have experience in administering Kubernetes clusters. CKA Exam is suitable for system administrators, DevOps engineers, and developers who work with Kubernetes. Candidates must have a solid understanding of Linux command-line tools, Docker containers, and Kubernetes concepts such as pods, services, and deployments. CKA exam also covers advanced topics such as Kubernetes networking, security, and storage.

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q37-Q42):

NEW QUESTION # 37
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.

Answer:

Explanation:
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.

NEW QUESTION # 38
Create the deployment redis with image=redis and expose it with "NodePort" service redis-service

A. kubectl create deploy redis --image=redis --dry-run -o yaml >
redis-deploy.yaml
Edit redis-deploy.yaml file
name: redis
spec:
replicas: 1
selector:
matchLabels:
app: redis
template:
metadata:
labels:
app: redis
spec:
containers:
- image: redis
name: redis
//Creating Service
kubectl expose deploy redis --type=NodePort --port=6379 --
target-port=6379 --name redis-service
// Verify
kubectl get deploy,svc
B. kubectl create deploy redis --image=redis --dry-run -o yaml >
redis-deploy.yaml
Edit redis-deploy.yaml file
vim redis-deploy.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: redis
name: redis
spec:
replicas: 1
selector:
matchLabels:
app: redis
template:
metadata:
labels:
app: redis
spec:
containers:
- image: redis
name: redis
//Creating Service
kubectl expose deploy redis --type=NodePort --port=6379 --
target-port=6379 --name redis-service
// Verify
kubectl get deploy,svc

Answer: B

NEW QUESTION # 39
You have two Kubernetes deployments running in different namespaces, 'namespace-A' and 'namespace-B'. You need to allow communication from pods in 'namespace-A' to a specific pod in namespace-B'. How can you achieve this using NetworkPolicies?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Create a NetworkPolicy in namespace-R:
- Create a NetworkPolicy in 'namespace-R that allows traffic to the specific pod in 'namespace-B'.
- Code:

2. Ensure the Target Pod has the Correct Label: - Ensure that the specific pod in 'namespace-B' has the label 'app: target-pod'. 3. Apply the NetworkPolicy: - Apply the NetworkPolicy using 'kubectl apply -f networkpolicy.yaml' .,

NEW QUESTION # 40
From the pod label name=cpu-utilizer, find pods running high CPU workloads and write the name of the pod consuming most CPU to the file /opt/KUTR00102/KUTR00102.txt (which already exists).

Answer:

Explanation:
See the solution below.
Explanation
solution

NEW QUESTION # 41
You are managing a Kubernetes cluster with a complex deployment scenario. The cluster has multiple namespaces, each with its own set of applications and users. You need to create a robust RBAC system to enforce fine-grained access control.
Current Setup:
Namespace: 'dev', 'staging', 'production'
Users: 'developer', 'qa', 'admin'
Applications: 'appl', 'app2' in 'dev', 'app3' in 'staging', 'app4' in 'production' Requirements:
'developer' should be able to access and manage 'appl' and 'app2' in the 'dev' namespace.
'qa' should be able to access and manage 'app3' in the 'staging' namespace.
'admin' should have full cluster-wide access.
Task:
Create the necessary Role, RoleBinding, and ClusterRole objects to implement this RBAC system.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create Roles for 'developer' and 'qa':

2. Create RoleBinding for 'developer' and 'qa':

3. Create ClusterRole for 'admin'.

4. Create ClusterRoleBindin for 'admin'.

We created separate roles (developer-role', 'cp-role') for each user group, limiting their access to specific namespaces and resources. We bound these roles to users using RoleBindings in the respective namespaces. For 'admin', we created a ClusterRole Cadmin-clusterrole') with full access to all resources, and bound it using a ClusterRoleBinding. This setup ensures that each user has appropriate access rights based on their role and responsibilities. ,

NEW QUESTION # 42
......

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