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| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Certified Kubernetes Administrator (CKA) Exam |
| Exam Number: | CKA |
| Certificate Validity Period: | 3 years |
| Exam Format: | Open-book (official Kubernetes documentation allowed), Performance-based practical exam, Online proctored |
| Related Certifications: | Certified Kubernetes Security Specialist (CKS) Certified Kubernetes Application Developer (CKAD) |
| Exam Price: | $395 USD |
| Exam Duration: | 120 minutes |
| Passing Score: | 66% |
| Real Exam Qty: | 15-20 performance-based tasks |
| Available Languages: | English |
| Recommended Training: | Kubernetes for Administrators (CKA preparation courses) Kubernetes Fundamentals (LFS258) |
| Exam Registration: | Official CKA Registration |
| Sample Questions: | Linux Foundation CKA Sample Questions |
| Exam Way: | Online proctored exam with remote environment |
| Pre Condition: | No formal prerequisites required, but strong hands-on Kubernetes experience is recommended |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka/ |
Our CKA study guide has become a brand for our candidates to get help for their exams. Because our CKA learning materials contain not only the newest questions appeared in real exams in these years, but the most classic knowledge to master. Besides, it is unavoidable that you may baffle by some question points during review process of the CKA Exam Questions, so there are clear analysis under some necessary questions.
Linux Foundation CKA (Certified Kubernetes Administrator) Program Certification Exam is a valuable certification for professionals seeking to demonstrate their expertise in managing Kubernetes clusters. Certified Kubernetes Administrator (CKA) Program Exam certification exam tests the candidate's practical skills in deploying and managing Kubernetes clusters effectively. Certified Kubernetes Administrator (CKA) Program Exam certification has become a benchmark for Kubernetes expertise in the industry and provides a competitive edge to the candidate. Passing the CKA Certification Exam demonstrates the candidate's commitment to keeping up with the latest industry trends and technologies.
NEW QUESTION # 47
List "nginx-dev" and "nginx-prod" pod and delete those pods
Answer:
Explanation:
See the solution below.
Explanation
kubect1 get pods -o wide
kubectl delete po "nginx-dev"kubectl delete po "nginx-prod"
NEW QUESTION # 48
Create a deployment as follows:
* Name: nginx-app
* Using container nginx with version 1.11.10-alpine
* The deployment should contain 3 replicas
Next, deploy the application with new version 1.11.13-alpine, by performing a rolling update.
Finally, rollback that update to the previous version 1.11.10-alpine.
Answer:
Explanation:


NEW QUESTION # 49
Create 5 nginx pods in which two of them is labeled env=prod and
three of them is labeled env=dev
Answer: A
NEW QUESTION # 50
You have a deployment that uses an init container to perform a specific initialization task before the main application container starts. How can you configure the init container to ensure that it runs successfully before the main container starts, even if the init container fails several times?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Define the Deployment: Define the deployment with both the init container and main container using a YAML file.
2. Set 'restartPolicy' for the Init Container: Set the 'restartPolicy' for the init container to 'Always'. This ensures that the init container will be restarted if it fails. 3. Set a 'restartPolicy' for the Main Container: Set the 'restartPolicy' for the main container to 'Always' so that the main container is restarted if it fails. 4. Apply the Deployment: Apply the YAML file to your cluster using 'kubectl apply -f my-deployment.yamr. 5. Monitor the Pod: Monitor the pod using 'kubectl get pods -l app=my-app' to check if the init container is running and completing successfully. If the init container repeatedly fails, you will need to troubleshoot the failure. Consider adding more logging to the init container or reducing the number of attempts or increasing the time between attempts to diagnose the root cause.
NEW QUESTION # 51
Create 2 nginx image pods in which one of them is labelled with env=prod and another one labelled with env=dev and verify the same.
Answer:
Explanation:
kubectl run --generator=run-pod/v1 --image=nginx -- labels=env=prod nginx-prod --dry-run -o yaml > nginx-prodpod.yaml Now, edit nginx-prod-pod.yaml file and remove entries like "creationTimestamp: null" "dnsPolicy: ClusterFirst" vim nginx-prod-pod.yaml apiVersion: v1 kind: Pod metadata:
labels:
env: prod
name: nginx-prod
spec:
containers:
- image: nginx
name: nginx-prod
restartPolicy: Always
# kubectl create -f nginx-prod-pod.yaml
kubectl run --generator=run-pod/v1 --image=nginx --
labels=env=dev nginx-dev --dry-run -o yaml > nginx-dev-pod.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
env: dev
name: nginx-dev
spec:
containers:
- image: nginx
name: nginx-dev
restartPolicy: Always
# kubectl create -f nginx-prod-dev.yaml
Verify :
kubectl get po --show-labels
kubectl get po -l env=prod
kubectl get po -l env=dev
NEW QUESTION # 52
......
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