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Linux Foundation CKA Exam Overview:

Certification Vendor:	Linux Foundation
Exam Name:	Certified Kubernetes Administrator (CKA) Program Exam
Exam Number:	CKA
Related Certifications:	Certified Kubernetes Application Developer (CKAD) Certified Kubernetes Security Specialist (CKS)
Available Languages:	English
Exam Format:	Performance-based
Passing Score:	66%
Exam Price:	$445 USD
Certificate Validity Period:	2 years
Real Exam Qty:	15-20
Exam Duration:	120 minutes
Sample Questions:	Linux Foundation CKA Sample Questions
Exam Way:	Online, proctored, performance-based exam. Candidates solve problems from a command line.
Pre Condition:	No prerequisites required. Candidates should have a conceptual and practical understanding of Kubernetes components and native objects.
Official Syllabus URL:	https://www.cncf.io/training/certification/cka/

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Linux Foundation Certified Kubernetes Administrator (CKA) program is a certification exam that validates the skills and knowledge of professionals who work with Kubernetes. Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. The CKA program is designed to test the ability of individuals to install, configure, and manage Kubernetes clusters.

Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q78-Q83):

NEW QUESTION # 78
Configure the kubelet systemd- managed service, on the node labelled with name=wk8s-node-1, to launch a pod containing a single container of Image httpd named webtool automatically. Any spec files required should be placed in the /etc/kubernetes/manifests directory on the node.
You can ssh to the appropriate node using:
[student@node-1] $ ssh wk8s-node-1
You can assume elevated privileges on the node with the following command:
[student@wk8s-node-1] $ | sudo -i

Answer:

Explanation:
See the solution below.
Explanation
solution
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F:\Work\Data Entry Work\Data Entry\20200827\CKA\21 F.JPG

F:\Work\Data Entry Work\Data Entry\20200827\CKA\21 G.JPG

NEW QUESTION # 79
Create an nginx pod and load environment values from the above configmap "keyvalcfgmap" and exec into the pod and verify the environment variables and delete the pod

A. // first run this command to save the pod yaml
kubectl run nginx --image=nginx --restart=Always --dry-run -o
yaml > nginx-pod.yml
// edit the yml to below file and create
vim nginx-pod.yml
apiVersion: v1
kind: Pod
metadata:
labels:
run: nginx
name: nginx
spec:
containers:
- image: nginx
name: nginx
envFrom:
- configMapRef:
name: keyvalcfgmap
restartPolicy: Always
kubectl apply -f nginx-pod.yml
// verify
kubectl exec -it nginx -- env
kubectl delete po nginx
B. // first run this command to save the pod yaml
kubectl run nginx --image=nginx --restart=Always --dry-run -o
yaml > nginx-pod.yml
// edit the yml to below file and create
vim nginx-pod.yml
apiVersion: v1
name: nginx
envFrom:
- configMapRef:
name: keyvalcfgmap
restartPolicy: Always
kubectl apply -f nginx-pod.yml
// verify
kubectl exec -it nginx -- env
kubectl delete po nginx

Answer: A

NEW QUESTION # 80
A Kubernetes worker node, named .Investigate why this is the case,
andperform any appropriate steps tobring the node to a state,ensuring that any changes are madepermanent.
You cansshto the failednode using:
[student@node-1] $ | sshWk8s-node-0
You can assume elevatedprivileges on the node with thefollowing command:
[student@w8ks-node-0] $ |sudo -i

Answer:

Explanation:
See the solution below.
Explanation
solution

NEW QUESTION # 81
You are running a service that handles requests from multiple pods. How can you scale the service to handle increased traffic without impacting the service availability during the scaling process?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Use a Deployment:
- Deploy the service using a Deployment with the desired number of replicas.
2. Define a Service:
- Create a Service that exposes the application to the outside world.
- Use a 'type: LoadBalancer' to distribute traffic across the pods.
3. Implement Horizontal Pod Autoscaler (HPA):
- Create an HPA that monitors the service's CPU usage.
- Configure the HPA to scale the Deployment based on the CPU utilization.

4. Test the Autoscaling: - Simulate increased traffic to the service. - Observe the HPA scaling the Deployment to meet the demand. 5. Monitor the Service: - Monitor the service's performance and ensure that it remains available and stable during scaling. 6. Adjust HPA Configuration: - Fine-tune the HPA configuration to optimize scaling based on specific performance needs.

NEW QUESTION # 82
Check the Image version of nginx-dev pod using jsonpath

Answer:

Explanation:
kubect1 get po nginx-dev -o jsonpath='{.spec.containers[].image}{"\n"}'

NEW QUESTION # 83
......

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