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Original CKA Questions - High Pass-Rate Linux Foundation CKA Latest Dumps Questions: Certified Kubernetes Administrator (CKA) Program Exam

Our company has always been following the trend of the CKA certification. Our research and development team not only study what questions will come up in the CKA exam, but also design powerful study tools like exam simulation software. With the Software version of our CKA study materilas, you can have the experience of the real exam which is very helpful for some candidates who lack confidence or experice of our CKA training guide.

The CKA certification exam is a rigorous test of a candidate's knowledge and skills in managing Kubernetes clusters. CKA exam consists of a performance-based test, which means that candidates are required to perform a series of tasks on a live Kubernetes cluster. CKA exam evaluates a candidate's ability to deploy and manage applications, configure and troubleshoot Kubernetes services, and perform common administrative tasks such as upgrading and scaling clusters.

The Certified Kubernetes Administrator (CKA) Program Certification Exam is an industry-leading certification program offered by the Linux Foundation. Certified Kubernetes Administrator (CKA) Program Exam certification is designed for IT professionals who want to demonstrate their expertise in Kubernetes, an open-source container orchestration platform. Kubernetes has become the de facto standard for container orchestration, and organizations around the world are hiring professionals who are proficient in Kubernetes to manage their containerized workloads.

The CKA Exam is highly rigorous and requires extensive preparation. Candidates must have a deep understanding of Kubernetes architecture, networking, storage, security, and troubleshooting. CKA exam also tests the candidate's ability to work with different Kubernetes tools such as kubectl, kubeadm, etcd, and kubelet.

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CKA Latest Dumps Questions - CKA Real Dumps

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q54-Q59):

NEW QUESTION # 54
Create a deployment as follows:
* Name:nginx-app
* Using containernginxwithversion 1.11.10-alpine
* The deployment should contain3replicas
Next, deploy the application with newversion1.11.13-alpine, byperforming a rolling update.
Finally, rollback that update to theprevious version1.11.10-alpine.

Answer:

Explanation:
See the solution below.
Explanation
solution

NEW QUESTION # 55
You have a Kubernetes cluster running several applications. You want to implement a network policy that allows traffic only between pods within the same deployment and denies all other traffic. 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:
- Create a NetworkPolicy in the namespace where the deployments are located.
- Code:

2. Apply the NetworkPolicy: - Apply the NetworkPolicy using 'kubectl apply -f networkpolicy.yaml'

NEW QUESTION # 56
Delete persistent volume and persistent volume claim

Answer:

Explanation:
kubectl delete pvc task-pv-claim kubectl delete pv task-pv-volume // Verify Kubectl get pv,pvc

NEW QUESTION # 57
Score:7%

Context
An existing Pod needs to be integrated into the Kubernetes built-in logging architecture (e. g. kubectl logs).
Adding a streaming sidecar container is a good and common way to accomplish this requirement.
Task
Add a sidecar container named sidecar, using the busybox Image, to the existing Pod big-corp-app. The new sidecar container has to run the following command:
/bin/sh -c tail -n+1 -f /va r/log/big-corp-app.log
Use a Volume, mounted at /var/log, to make the log file big-corp-app.log available to the sidecar container.

Answer:

Explanation:
See the solution below.
Explanation
Solution:
#
kubectl get pod big-corp-app -o yaml
#
apiVersion: v1
kind: Pod
metadata:
name: big-corp-app
spec:
containers:
- name: big-corp-app
image: busybox
args:
- /bin/sh
- -c
- >
i=0;
while true;
do
echo "$(date) INFO $i" >> /var/log/big-corp-app.log;
i=$((i+1));
sleep 1;
done
volumeMounts:
- name: logs
mountPath: /var/log
- name: count-log-1
image: busybox
args: [/bin/sh, -c, 'tail -n+1 -f /var/log/big-corp-app.log']
volumeMounts:
- name: logs
mountPath: /var/log
volumes:
- name: logs
emptyDir: {
}
#
kubectl logs big-corp-app -c count-log-1

NEW QUESTION # 58
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 # 59
......

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Ben Shaw Ben Shaw

Biography

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