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The CKA exam evaluates the candidate's proficiency in various Kubernetes concepts such as installation and configuration, application lifecycle management, networking, security, and storage. It is a performance-based exam that requires the candidate to demonstrate their skills in a real-world scenario through a series of hands-on tasks. CKA exam is conducted online, and the candidate is provided with a command-line interface to access a live Kubernetes cluster. CKA Exam is timed, and the candidate has three hours to complete the assigned tasks. The CKA certification is an excellent way for professionals to demonstrate their expertise in Kubernetes and gain recognition for their skills in the industry.

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Linux Foundation CKA Questions - CKA PDF Dumps [2025]

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The CKA program is suitable for professionals who are interested in deploying, managing, and scaling containerized applications. Certified Kubernetes Administrator (CKA) Program Exam certification exam is intended for system administrators, DevOps engineers, and developers who are seeking to enhance their skills in Kubernetes administration. The CKA Exam is a challenging test that requires a deep understanding of Kubernetes architecture, containerization concepts, and network design. CKA exam aims to validate the candidate's expertise in Kubernetes administration and help them stand out in the job market.

Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q58-Q63):

NEW QUESTION # 58
Get the list of pods of webapp deployment

A. // Get the label of the deployment
kubectl get deploy --show-labels
// Get the pods with that label
kubectl get pods -l app=webapp
B. // Get the label of the deployment
kubectl get deploy --show-labels
kubectl get pods -l app=webapp

Answer: A

NEW QUESTION # 59
Create a configmap called cfgvolume with values var1=val1,
var2=val2 and create an nginx pod with volume nginx-volume which
reads data from this configmap cfgvolume and put it on the path
/etc/cfg

A. // first create a configmap cfgvolume
kubectl create cm cfgvolume --from-literal=var1=val1 --fromliteral=var2=val2
// verify the configmap
kubectl describe cm cfgvolume
// create the config map
kubectl create -f nginx-volume.yml
vim nginx-configmap-pod.yaml
apiVersion: v1
kind: Pod
- name: nginx-volume
configMap:
name: cfgvolume
containers:
- image: nginx
name: nginx
volumeMounts:
- name: nginx-volume
mountPath: /etc/cfg
restartPolicy: Always
k kubectl apply -f nginx-configmap-pod.yaml
/ // Verify
// exec into the pod
kubectl exec -it nginx -- /bin/sh
// check the path
cd /etc/cfg
B. // first create a configmap cfgvolume
kubectl create cm cfgvolume --from-literal=var1=val1 --fromliteral=var2=val2
// verify the configmap
kubectl describe cm cfgvolume
// create the config map
kubectl create -f nginx-volume.yml
vim nginx-configmap-pod.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
run: nginx
name: nginx
spec:
volumes:
- name: nginx-volume
configMap:
name: cfgvolume
containers:
- image: nginx
name: nginx
volumeMounts:
- name: nginx-volume
mountPath: /etc/cfg
restartPolicy: Always
k kubectl apply -f nginx-configmap-pod.yaml
/ // Verify
// exec into the pod
kubectl exec -it nginx -- /bin/sh
// check the path
cd /etc/cfg

Answer: B

NEW QUESTION # 60
You have a Deployment named 'postgres-deployment' running a PostgreSQL database server. You need to configure the PostgreSQL server with a specific configuration file stored in a ConfigMap named postgres-config'. The configuration file includes sensitive information like the PostgreSQL superuser password. How can you securely store and mount this sensitive information without compromising security?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the ConfigMap:
- Create a ConfigMap named 'postgres-config' containing the PostgreSQL configuration file (e.g., postgresql.conf). This file will likely contain the superuser password as a plain-text value. Create the ConfigMap using 'kubectl create configmap' with the '--from-file' flag:
kubectl create configmap postgres-config --from-file=postgresql.conf
2. Use a Secret for Sensitive Data:
- Create a Secret named postgres-password' to securely store the PostgreSQL superuser password. Use
'kubectl create secret generic' with the '--from-literal' flag:
kubectl create secret generic postgres-password --from-literal=postgres-password="your_postgres_password"
3. Modify the ConfigMap:
- Update the 'postgres-config' ConfigMap by replacing the plain-text password in the 'postgresql.conf with a placeholder or environment variable reference. This prevents the password from being exposed in plain text in the ConfigMap:
kubectl patch configmap postgres-config -p '{"data": {"postgresql.conf": "password =
'$POSTGRES PASSWORD' "}}'
4. Configure the Deployment:
- Modify the 'postgres-deployment' Deployment to mount both the 'postgres-config' ConfigMap and 'postgres- password' Secret as volumes in the Pod template. Use 'volumeMounts' to specify the mount paths and 'volumes' to define the volume sources:

5. Apply the Changes: - Apply the modified Deployment YAML using 'kubectl apply -f postgres-deployment.yamr. 6. Verify the Configuration: - Verify that the PostgreSQL container is using the secure password from the Secret by connecting to the PostgreSQL instance and attempting to authenticate. ]

NEW QUESTION # 61
You are running a stateful application using a StatefulSet. How do you ensure that the application data is preserved during a rolling update?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Use Persistent Volumes:
- Use Persistent Volumes (PVs) and Persistent Volume Claims (PVCs) to provide persistent storage for the stateful application data.
- Ensure that the PVCs are mounted to the pods in the StatefulSet.

2. Configure Rolling Updates: - Configure the StatefulSet's updateStrategy' to use a rolling update strategy. - Ensure that the 'updateStrategy.type' is set to 'RollingUpdate'. 3. Validate Data Preservation: - Perform a rolling update by updating the StatefulSet. - Validate that the application data is preserved during the update process. - Check the logs and application state to confirm that the data is intact.

NEW QUESTION # 62
You have a deployment named 'wordpress-deployment' that runs a WordPress application. The deployment is configured to use a PersistentVolumeClaim (PVC) for its data storage. However, you need to change the access mode of the PVC to 'ReadWriteMany to allow multiple pods to share the same dat a. How would you modify the Deployment and PVC to achieve this?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the PVC Access Mode:
- Modify the access mode in the PersistentVolumeClaim YAML file to 'ReadWriteMany'.

2. Update the Deployment: - Update the Deployment YAML to reflect the change in access mode:

3. Apply the Changes: - Apply the updated PVC and Deployment YAML files using 'kubectl apply -f wordpress-pvc.yaml' and 'kubectl apply -f wordpress-deployment.yamr , respectively. 4. Verify the Changes: - Use 'kubectl describe pvc wordpress-pvc' to verify that the access mode has been updated to ReadWriteMany'. - Check the deployment status using 'kubectl get deployments wordpress-deployment' to confirm that the deployment is running with the updated PVC.