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Linux Foundation CKA (Certified Kubernetes Administrator) program is a certification that recognizes an individual's expertise in managing and deploying applications on the Kubernetes platform. Certified Kubernetes Administrator (CKA) Program Exam certification is designed for professionals who have a solid understanding of Kubernetes and its underlying components, including networking, storage, security, and cluster architecture. The CKA program is ideal for individuals who are looking to enhance their Kubernetes skillset and are interested in pursuing a career in DevOps, cloud computing, or containerization.

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Linux Foundation Certified Kubernetes Administrator (CKA) Program is a certification exam that validates one's skills and knowledge in Kubernetes administration. This program is offered by the Linux Foundation, a non-profit organization that aims to promote and support the growth of open source software. The CKA Exam is designed to test one's ability to install, configure, and manage Kubernetes clusters, as well as troubleshoot common issues that may arise.

Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q46-Q51):

NEW QUESTION # 46
Get the number of schedulable nodes and write to a file
/opt/schedulable-nodes.txt

A. kubectl get nodes -o jsonpath="{range
.items[*]}{.metadata.name}
{.spec.taints[?(@.effect=='NoSchedule')].effect}{" "}{end}"
| awk 'NF==11 {print $0}' > /opt/schedulable-nodes.txt
// Verify
cat /opt/schedulable-nodes.txt
B. kubectl get nodes -o jsonpath="{range
.items[*]}{.metadata.name}
{.spec.taints[?(@.effect=='NoSchedule')].effect}{" "}{end}"
| awk 'NF==1 {print $0}' > /opt/schedulable-nodes.txt
// Verify
cat /opt/schedulable-nodes.txt

Answer: B

NEW QUESTION # 47
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 # 48
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 # 49
You have a Deployment named running three replicas of a WordPress container. The WordPress application is experiencing intermittent errors, and you need to investigate the cause. You suspect that the errors might be related to issues with the logs generated by the WordPress container. How can you efficiently capture and analyze the 'stdout' and 'stderr' logs from all three pods in the 'wordpress-deployment' to pinpoint the root cause of the errors?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Use 'kubectl logs' to access the container logs:
- Run the following command to retrieve the logs from all pods in the deployment:
kubectl logs -l app=wordpress -f
- This command retrieves the logs from all pods that have the label , which is the label selecto for your deployment. The flag enables continuous log streaming, allowing you to see new log messages in real-time.
2. Use 'kubectl logs -p' for more specific pod logs:
- If you want to examine logs from a specific pod, you can provide the pod name. For example, to get the logs from the pod named 'wordpress-deployment-795d7f7449-2c4d7':
kubectl logs wordpress-deployment-795d7f7449-2c4d7 -p -f
- The '-p' flag ensures that you are fetching logs from the previous container instance of the pod, which is helpful if the current container instance is not showing any relevant errors.
3. Utilize 'kubectl logs --since' for time-based log retrieval:
- If you need to analyze logs from a specific time period, use the '--since' flag. For example:
kubectl logs -l app=wordpress --since=15m -f
- This command retrieves logs from the past 15 minutes from all pods with the label 'app=wordpress'. You can adjust the time duration as needed.
4. Use 'kubectl logs --tail' to view the last few lines:
- To focus on the most recent log entries, you can use the '--tail' flag:
kubectl logs -l app=wordpress --tail=100 -f
- This command retrieves the last 100 lines of logs from all pods with the label 'app=wordpress'.
5. Analyze the logs:
- Once you have retrieved the logs, examine them carefully for any error messages, warning signs, or unusual activity that might indicate the source of the errors. Look for patterns, recurring errors, or timestamps that correlate with the observed issues.
6. Further investigation:
- Based on the analysis of the logs, you can take further actions to troubleshoot the problem. This might include:
- Inspecting the WordPress application logs: If the logs indicate problems within the application itself, you need to delve into the WordPress logs to get more specific insights.
- Checking the container image: If the logs point to issues with the container image, you might need to rebuild or update the image.
- Examining the Kubernetes environment: If the logs suggest problems related to Kubernetes resources, you might need to adjust configuration files, investigate other components, or troubleshoot any network issues.
7. Use tools for log analysis:
- For large volumes of logs or complex log patterns, consider using log analysis tools such as 'grep' , ' awe , 'sed' , or specialized log analysis tools that offer advanced features like filtering, aggregation, and visualization. These tools can help you extract relevant information and identify trends more effectively.
By following these steps, you can effectively capture and analyze the 'stdout' and 'stderr' logs from the WordPress ods enablin ou to identi the root cause of the intermittent errors and resolve the issue.

NEW QUESTION # 50
Create a redis pod, and have it use a non-persistent storage
Note: In exam, you will have access to kubernetes.io site,
Refer : https://kubernetes.io/docs/tasks/configure-pod-container/configurevolume-storage/

A. apiVersion: v1
kind: Pod
metadata:
name: redis
spec:
containers:
- name: redis
image: redis
volumeMounts:
- containerPort: 6379
volumes:
- name: redis-storage
emptyDir: {}
B. apiVersion: v1
kind: Pod
metadata:
name: redis
spec:
containers:
- name: redis
image: redis
volumeMounts:
- name: redis-storage
mountPath: /data/redis
ports:
- containerPort: 6379
volumes:
- name: redis-storage
emptyDir: {}

Answer: B

NEW QUESTION # 51
......

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