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Achieving the CKA certification is a significant accomplishment for IT professionals who work with Kubernetes. It demonstrates their proficiency in Kubernetes and their ability to use the platform to deploy, manage, and scale containerized applications. With the growing demand for Kubernetes, the CKA Certification is becoming increasingly important for IT professionals who want to advance their careers in this field.

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Linux Foundation CKA Program Exam is designed for system administrators, DevOps engineers, and IT professionals who are responsible for deploying and managing Kubernetes clusters in a production environment. Certified Kubernetes Administrator (CKA) Program Exam certification helps professionals demonstrate their expertise in Kubernetes, which is one of the most popular container orchestration tools used in the industry.

Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q52-Q57):

NEW QUESTION # 52
You have a Deployment named 'my-app-deployment' running a web application. The Deployment's Service is exposed using a NodePort service. You need to configure a new Ingress resource that allows traffic to reach the web application through a specific domain name. How would you set up the Ingress configuration?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Install the Ingress Controller:
- If you haven't already, install an Ingress controller. Common options include:
- NGINX Ingress Controller: [https://kubernetes.github.io/ingress-nginx/](https://kubernetes.github.io/ingress- nginx/)
- Traefik Ingress Controller: [https://traefik.io[](https://traefik.io/)
2. Create an Ingress Resource:
- Create a new Ingress resource using the following YAML structure, replacing the placeholders with your actual values:

3. Configure DNS: - Create a DNS record for your domain 'my-app.example.com' pointing to the IP address of your Ingress controller. This can be either a LoadBalancer service IP or the Ingress controller's pod IP if you're using NodePort. 4. Verify Ingress Setup: - Once the DNS records are propagated, you should be able to access your web application through the configured domain name 'my-app.example.com'.

NEW QUESTION # 53
Create a Pod with main container busybox and which executes this
"while true; do echo 'Hi I am from Main container' >>
/var/log/index.html; sleep 5; done" and with sidecar container
with nginx image which exposes on port 80. Use emptyDir Volume
and mount this volume on path /var/log for busybox and on path
/usr/share/nginx/html for nginx container. Verify both containers
are running.

A. // create an initial yaml file with this
kubectl run multi-cont-pod --image=busbox --restart=Never --
dry-run -o yaml > multi-container.yaml
// edit the yml as below and create it
kubectl create -f multi-container.yaml
vim multi-container.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
run: multi-cont-pod
name: multi-cont-pod
spec:
volumes:
- name: var-logs
emptyDir: {}
containers:
- image: busybox
command: ["/bin/sh"]
args: ["-c", "while true; do echo 'Hi I am from Main
container' >> /var/log/index.html; sleep 5;done"]
name: main-container
volumeMounts:
- name: var-logs
mountPath: /var/log
- image: nginx
name: sidecar-container
ports:
- containerPort: 80
volumeMounts:
- name: var-logs
mountPath: /usr/share/nginx/html
restartPolicy: Never
// Create Pod
kubectl apply -f multi-container.yaml
//Verify
kubectl get pods
B. // create an initial yaml file with this
kubectl run multi-cont-pod --image=busbox --restart=Never --
dry-run -o yaml > multi-container.yaml
// edit the yml as below and create it
kubectl create -f multi-container.yaml
vim multi-container.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
run: multi-cont-pod
name: multi-cont-pod
spec:
volumes:
- image: busybox
command: ["/bin/sh"]
args: ["-c", "while true; do echo 'Hi I am from Main
container' >> /var/log/index.html; sleep 5;done"]
name: main-container
volumeMounts:
- name: var-logs
mountPath: /var/log
- image: nginx
name: sidecar-container
ports:
mountPath: /usr/share/nginx/html
restartPolicy: Never
// Create Pod
kubectl apply -f multi-container.yaml
//Verify
kubectl get pods

Answer: A

NEW QUESTION # 54
You must connect to the correct host.
Failure to do so may result in a zero score.
[candidate@base] $ ssh Cka000058
Context
You manage a WordPress application. Some Pods
are not starting because resource requests are
too high.
Task
A WordPress application in the relative-fawn
namespace consists of:
. A WordPress Deployment with 3 replicas.
Adjust all Pod resource requests as follows:
. Divide node resources evenly across all 3 Pods.
. Give each Pod a fair share of CPU and memory.

Answer:

Explanation:
Task Summary
You are managing a WordPress Deployment in namespace relative-fawn.
* Deployment has 3 replicas.
* Pods are not starting due to high resource requests.
* Your job:# Adjust CPU and memory requests so that all 3 pods evenly split the node's capacity.
Step-by-Step Solution
1## SSH into the correct host
bash
CopyEdit
ssh cka000058
# Skipping this will result in a zero score.
2## Check node resource capacity
You need to know the node's CPU and memory resources.
bash
CopyEdit
kubectl describe node | grep -A5 "Capacity"
Example output:
yaml
CopyEdit
Capacity:
cpu: 3
memory: 3Gi
Let's assume the node has:
* 3 CPUs
* 3Gi memory
So for 3 pods, divide evenly:
* CPU request per pod: 1
* Memory request per pod: 1Gi
## In the actual exam, check real values and divide accordingly. If the node has 4 CPUs and 8Gi, you'd allocate ~1.33 CPUs and ~2.66Gi RAM per pod (rounded reasonably).
3## Edit the Deployment
Edit the WordPress deployment in the relative-fawn namespace:
kubectl edit deployment wordpress -n relative-fawn
Look for the resources section under spec.template.spec.containers like this:
resources:
requests:
cpu: "1"
memory: "1Gi"
If the section doesn't exist, add it manually.
Save and exit the editor (:wq if using vi).
4## Confirm changes
Wait a few seconds, then check:
kubectl get pods -n relative-fawn
Ensure all 3 pods are in Running state.
You can also describe a pod to confirm resource requests are set:
kubectl describe pod <pod-name> -n relative-fawn | grep -A5 "Containers" ssh cka000058 kubectl describe node | grep -A5 "Capacity" kubectl edit deployment wordpress -n relative-fawn
# Set CPU: 1, Memory: 1Gi (or according to node capacity)
kubectl get pods -n relative-fawn

NEW QUESTION # 55
Given a partially-functioning Kubernetes cluster, identify symptoms of failure on the cluster.
Determine the node, the failing service, and take actions to bring up the failed service and restore the health of the cluster. Ensure that any changes are made permanently.
You can ssh to the relevant I nodes (bk8s-master-0 or bk8s-node-0) using:
[student@node-1] $ ssh <nodename>
You can assume elevated privileges on any node in the cluster with the following command:
[student@nodename] $ | sudo -i

Answer:

Explanation:
solution

NEW QUESTION # 56
Given a partially-functioning Kubernetes cluster, identify symptoms of failure on the cluster.
Determine the node, the failing service, and take actions to bring up the failed service and restore the health of the cluster. Ensure that any changes are made permanently.
You can ssh to the relevant I nodes (bk8s-master-0 or bk8s-node-0) using:
[student@node-1] $ ssh <nodename>
You can assume elevated privileges on any node in the cluster with the following command:
[student@nodename] $ | sudo -i

Answer:

Explanation:

NEW QUESTION # 57
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