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The CKA exam is a performance-based exam that assesses the candidate’s ability to perform tasks related to Kubernetes. CKA exam is conducted in a real-world, live environment, where the candidate is expected to demonstrate their skills in configuring, deploying, and troubleshooting Kubernetes clusters. CKA exam covers a wide range of topics, including Kubernetes architecture, installation and configuration, networking, storage, security, and troubleshooting. CKA exam is designed to test the candidate’s ability to design, deploy, and manage Kubernetes clusters in a production environment, making it a valuable certification for IT professionals looking to advance their careers in the field of DevOps and cloud-native technologies.

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Linux Foundation Certified Kubernetes Administrator (CKA) program is a certification exam designed to test the knowledge of individuals in administering Kubernetes clusters. Kubernetes is an open-source container orchestration system that is used to automate the deployment, scaling, and management of containerized applications. The CKA program is an industry-recognized certification that validates the skills and knowledge of administrators, developers, and architects in working with Kubernetes.

Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q30-Q35):

NEW QUESTION # 30
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:
See the solution below.
Explanation
solution



NEW QUESTION # 31
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 # 32
Create a deployment spec file that will:
Launch 7 replicas of the nginx Image with the labelapp_runtime_stage=dev deployment name: kual00201 Save a copy of this spec file to /opt/KUAL00201/spec_deployment.yaml (or /opt/KUAL00201/spec_deployment.json).
When you are done, clean up (delete) any new Kubernetes API object that you produced during this task.

Answer:

Explanation:
See the solution below.
Explanation
solution
F:\Work\Data Entry Work\Data Entry\20200827\CKA\10 B.JPG

F:\Work\Data Entry Work\Data Entry\20200827\CKA\10 C.JPG


NEW QUESTION # 33
You must connect to the correct host.
Failure to do so may result in a zero score.
[candidate@base] $ ssh Cka000037
Context
A legacy app needs to be integrated into the Kubernetes built-in logging architecture (i.e.
kubectl logs). Adding a streaming co-located container is a good and common way to accomplish this requirement.
Task
Update the existing Deployment synergy-leverager, adding a co-located container named sidecar using the busybox:stable image to the existing Pod . The new co-located container has to run the following command:
/bin/sh -c "tail -n+1 -f /var/log/syne
rgy-leverager.log"
Use a Volume mounted at /var/log to make the log file synergy-leverager.log available to the co- located container .
Do not modify the specification of the existing container other than adding the required volume mount .
Failure to do so may result in a reduced score.

Answer:

Explanation:
Task Summary
* SSH into the correct node: cka000037
* Modify existing deployment synergy-leverager
* Add a sidecar container:
* Name: sidecar
* Image: busybox:stable
* Command:
/bin/sh -c "tail -n+1 -f /var/log/synergy-leverager.log"
* Use a shared volume mounted at /var/log
* Don't touch existing container config except adding volume mount
Step-by-Step Solution
1## SSH into the correct node
ssh cka000037
## Skipping this will result in a zero score.
2## Edit the deployment
kubectl edit deployment synergy-leverager
This opens the deployment YAML in your default editor (vi or similar).
3## Modify the spec as follows
# Inside the spec.template.spec, do these 3 things:
# A. Define a shared volume
Add under volumes: (at the same level as containers):
volumes:
- name: log-volume
emptyDir: {}
# B. Add volume mount to the existing container
Locate the existing container under containers: and add this:
volumeMounts:
- name: log-volume
mountPath: /var/log
# Do not change any other configuration for this container.
# C. Add the sidecar container
Still inside containers:, add the new container definition after the first one:
- name: sidecar
image: busybox:stable
command:
- /bin/sh
- -c
- "tail -n+1 -f /var/log/synergy-leverager.log"
volumeMounts:
- name: log-volume
mountPath: /var/log
spec:
containers:
- name: main-container
image: your-existing-image
volumeMounts:
- name: log-volume
mountPath: /var/log
- name: sidecar
image: busybox:stable
command:
- /bin/sh
- -c
- "tail -n+1 -f /var/log/synergy-leverager.log"
volumeMounts:
- name: log-volume
mountPath: /var/log
volumes:
- name: log-volume
emptyDir: {}
Save and exit
If using vi or vim, type:
bash
CopyEdit
wq
5## Verify
Check the updated pods:
kubectl get pods -l app=synergy-leverager
Pick a pod name and describe it:
kubectl describe pod <pod-name>
Confirm:
* 2 containers running (main-container + sidecar)
* Volume mounted at /var/log
ssh cka000037
kubectl edit deployment synergy-leverager
# Modify as explained above
kubectl get pods -l app=synergy-leverager
kubectl describe pod <pod-name>


NEW QUESTION # 34
You must connect to the correct host.
Failure to do so may result in a zero score.
[candidate@base] $ ssh Cka000059
Context
A kubeadm provisioned cluster was migrated to a new machine. It needs configuration changes to run successfully.
Task
Fix a single-node cluster that got broken during machine migration.
First, identify the broken cluster components and investigate what breaks them.
The decommissioned cluster used an external etcd server.
Next, fix the configuration of all broken cluster

Answer:

Explanation:
Task Summary
* SSH into node: cka000059
* Cluster was migrated to a new machine
* It uses an external etcd server
* Identify and fix misconfigured components
* Bring the cluster back to a healthy state
Step-by-Step Solution
Step 1: SSH into the correct host
ssh cka000059
Step 2: Check the cluster status
Run:
kubectl get nodes
If it fails, the kubelet or kube-apiserver is likely broken.
Check kubelet status:
sudo systemctl status kubelet
Also, check pod statuses in the control plane:
sudo crictl ps -a | grep kube
or:
docker ps -a | grep kube
Look especially for failures in kube-apiserver or kube-controller-manager.
Step 3: Inspect the kube-apiserver manifest
Since this is a kubeadm-based cluster, manifests are in:
ls /etc/kubernetes/manifests
Open kube-apiserver.yaml:
bash
CopyEdit
sudo nano /etc/kubernetes/manifests/kube-apiserver.yaml
Look for the --etcd-servers= flag. If the external etcd endpoint has changed (likely, due to migration), this needs to be fixed.
Example of incorrect configuration:
--etcd-servers=https://192.168.1.100:2379
If the IP has changed, update it to the correct IP or hostname of the external etcd server.
Also ensure the correct client certificate and key paths are still valid:
--etcd-cafile=/etc/kubernetes/pki/etcd/ca.crt
--etcd-certfile=/etc/kubernetes/pki/apiserver-etcd-client.crt
--etcd-keyfile=/etc/kubernetes/pki/apiserver-etcd-client.key
If the files are missing or the path is wrong due to migration, correct those as well.
Step 4: Save and exit, and let static pod restart
Static pod changes will be picked up automatically by the kubelet (watch for /etc/kubernetes/manifests changes).
Check again:
docker ps | grep kube-apiserver
# or
crictl ps | grep kube-apiserver
Step 5: Confirm API is healthy
Once kube-apiserver is up, try:
kubectl get componentstatuses
kubectl get nodes
If these commands work and return valid statuses, the control plane is functional again.
Step 6: Check controller-manager and scheduler (optional)
If still broken, check the other static pods in /etc/kubernetes/manifests/ and correct paths if necessary.
Also verify that /etc/kubernetes/kubelet.conf and /etc/kubernetes/admin.conf are present and valid.
Command Summary
ssh cka000059
# Check system and kubelet
sudo systemctl status kubelet
docker ps -a | grep kube # or crictl ps -a | grep kube
# Check manifests
ls /etc/kubernetes/manifests
sudo nano /etc/kubernetes/manifests/kube-apiserver.yaml
# Fix --etcd-servers and certificate paths if needed
# Watch pods restart and confirm:
kubectl get nodes
kubectl get componentstatuses


NEW QUESTION # 35
......

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