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Objective of CNCF CKA Certification Exam

The CNCF Certified Kubernetes Administrator exam tests knowledge on deploying, managing, and troubleshooting applications on Kubernetes clusters. Software engineers will need to understand key concepts of Kubernetes in order to pass the CNCF Certified Kubernetes Administrator exam. Files and containers running on the cluster will be managed by Kubernetes using its object-store. Understand key features of Kubernetes and how it is a paradigm shift in the way software engineers manage containerized applications. Learning about Kubernetes will be crucial for passing the CNCF Certified Kubernetes Administrator exam. Highly recommended to check out the official study guide. Technical manuals and practice questions can be found on the website. Functional knowledge of Kubernetes is crucial for passing the CNCF Certified Kubernetes Administrator exam.

The CKA Certification Exam is a performance-based exam that tests the candidate's ability to perform real-world tasks on a live Kubernetes cluster. CKA exam is conducted online and consists of a set of performance-based tasks that the candidate needs to complete within a specified time frame. CKA exam is designed to evaluate the candidate's ability to deploy, configure, and manage Kubernetes clusters, troubleshoot common issues, and automate tasks using Kubernetes APIs and tools.

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The CKA Certification Exam covers a wide range of topics, including Kubernetes architecture and design principles, cluster installation and configuration, networking, security, storage, and troubleshooting. Candidates who pass the exam demonstrate that they have a deep understanding of Kubernetes and are able to administer and manage Kubernetes clusters efficiently and effectively.

Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q105-Q110):

NEW QUESTION # 105
Get the memory and CPU usage of all the pods and find out top 3 pods which have the highest usage and put them into the cpuusage.txt file

A. // Get the top 3 pods
kubectl top pod --all-namespaces | sort --reverse --key 3 --
numeric | head -8
// putting into file
kubectl top pod --all-namespaces | sort --reverse --key 6 --
numeric | head -6 > cpu-usage.txt
// verify
cat cpu-usage.txt
B. // Get the top 3 pods
kubectl top pod --all-namespaces | sort --reverse --key 3 --
numeric | head -3
// putting into file
kubectl top pod --all-namespaces | sort --reverse --key 3 --
numeric | head -3 > cpu-usage.txt
// verify
cat cpu-usage.txt

Answer: B

NEW QUESTION # 106
Create a deployment as follows:
Name: nginx-random
Exposed via a service nginx-random
Ensure that the service & pod are accessible via their respective DNS records The container(s) within any pod(s) running as a part of this deployment should use the nginx Image Next, use the utility nslookup to look up the DNS records of the service & pod and write the output to
/opt/KUNW00601/service.dns and /opt/KUNW00601/pod.dns respectively.

Answer:

Explanation:
See the solution below.
Explanation
Solution:
F:WorkData Entry WorkData Entry00827CKA C.JPG

F:WorkData Entry WorkData Entry00827CKA D.JPG

F:WorkData Entry WorkData Entry00827CKA E.JPG

NEW QUESTION # 107
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 # 108
Configure the kubelet systemd-managed service, on the nodelabelled withname=wk8s-node-1, tolaunch a pod containing a singlecontainer of Image automatically. Any spec filesrequired should be placed in the/etc/kubernetes/manifests You canssh to theappropriate node using:
[student@node-1] $ sshwk8s-node-1
You can assume elevatedprivileges on the node with thefollowing command:
[student@wk8s-node-1] $ |sudo -i

Answer:

Explanation:
See the solution below.
Explanation
solution