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Linux Foundation CKA Exam Overview:

Certification Vendor:Linux Foundation / Cloud Native Computing Foundation (CNCF)
Exam Name:Certified Kubernetes Administrator (CKA) Program Exam
Exam Number:CKA
Available Languages:Japanese, Simplified Chinese, English
Real Exam Qty:15-20 performance-based tasks
Exam Duration:120 minutes
Exam Format:Command-line tasks, Online proctored, Performance-based, Hands-on in real Kubernetes environment
Related Certifications:Certified Kubernetes Application Developer (CKAD)
Certified Kubernetes Security Specialist (CKS)
Exam Price:$445 USD
Passing Score:66%
Certificate Validity Period:2 years
Recommended Training:LFS258: Kubernetes Fundamentals
Introduction to Kubernetes (Free Course)
Exam Registration:Linux Foundation Training Portal
Sample Questions:Linux Foundation CKA Sample Questions
Exam Way:Online, remotely proctored via PSI; browser-based terminal environment
Pre Condition:No formal prerequisites; basic Linux and Kubernetes knowledge recommended
Official Syllabus URL:https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka/

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q61-Q66):

NEW QUESTION # 61
Create a namespace called 'development' and a pod with image nginx called nginx on this namespace.

Answer:

Explanation:
kubectl create namespace development kubectl run nginx --image=nginx --restart=Never -n development


NEW QUESTION # 62
You have a Deployment named 'web-app-deployment' that uses a service named 'web-app- service' to expose the web application on port 80. You want to update the Deployment to use a new image named 'web-app:v2.0' and update the service to expose a new port, 8080. How would you perform this update using Kubernetes commands?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment:
- Update the Deployment YAML to use the new image 'web-app:v2.0'.
- Use 'kubectl apply -f web-app-deployment.yaml' to apply the updated Deployment.
- Example YAML:

2. Update the Service: - Update the Service YAML to expose the new port 8080. - Use 'kubectl apply -f web-app-service.yaml' to apply the updated Service. - Example YAML:

3. Verify the Update: - Use 'kubectl get deployments web-app-deployment' to verify that the Deployment has updated to use the new image. - Use 'kubectl get services web-app-service' to verify that the Service has updated to expose the new port. - You can then access the web application using the new port through your Kubernetes cluster's IP address or through a NodePort if that's your service type. - If you're using Ingress, you'll need to update your Ingress resource as well to match the new port. ,


NEW QUESTION # 63
Create a persistent volume with name app-data, of capacity 2Gi and access mode ReadWriteMany. The type of volume is hostPath and its location is /srv/app-data.

Answer:

Explanation:
See the solution below.
Explanation
solution
Persistent Volume
A persistent volume is a piece of storage in a Kubernetes cluster. PersistentVolumes are a cluster-level resource like nodes, which don't belong to any namespace. It is provisioned by the administrator and has a particular file size. This way, a developer deploying their app on Kubernetes need not know the underlying infrastructure. When the developer needs a certain amount of persistent storage for their application, the system administrator configures the cluster so that they consume the PersistentVolume provisioned in an easy way.
Creating Persistent Volume
kind: PersistentVolumeapiVersion: v1metadata: name:app-dataspec: capacity: # defines the capacity of PV we are creating storage: 2Gi #the amount of storage we are tying to claim accessModes: # defines the rights of the volume we are creating - ReadWriteMany hostPath: path: "/srv/app-data" # path to which we are creating the volume Challenge
* Create a Persistent Volume named ReadWriteMany, storage classname
shared, 2Gi of storage capacity and the host path

2. Save the file and create the persistent volume.
Image for post

3. View the persistent volume.

* Our persistent volume status is available meaning it is available and it has not been mounted yet. This status will change when we mount the persistentVolume to a persistentVolumeClaim.
PersistentVolumeClaim
In a real ecosystem, a system admin will create the PersistentVolume then a developer will create a PersistentVolumeClaim which will be referenced in a pod. A PersistentVolumeClaim is created by specifying the minimum size and the access mode they require from the persistentVolume.
Challenge
* Create a Persistent Volume Claim that requests the Persistent Volume we had created above. The claim should request 2Gi. Ensure that the Persistent Volume Claim has the same storageClassName as the persistentVolume you had previously created.
kind: PersistentVolumeapiVersion: v1metadata: name:
spec:
accessModes: - ReadWriteMany
requests: storage: 2Gi
storageClassName: shared
2. Save and create the pvc
njerry191@cloudshell:~ (extreme-clone-2654111)$ kubect1 create -f app-data.yaml persistentvolumeclaim/app-data created
3. View the pvc
Image for post

4. Let's see what has changed in the pv we had initially created.
Image for post

Our status has now changed from available to bound.
5. Create a new pod named myapp with image nginx that will be used to Mount the Persistent Volume Claim with the path /var/app/config.
Mounting a Claim
apiVersion: v1kind: Podmetadata: creationTimestamp: null name: app-dataspec: volumes: - name:congigpvc persistenVolumeClaim: claimName: app-data containers: - image: nginx name: app volumeMounts: - mountPath: "/srv/app-data " name: configpvc


NEW QUESTION # 64
Create a busybox pod and add "sleep 3600" command

Answer:

Explanation:
kubectl run busybox --image=busybox --restart=Never -- /bin/sh -c "sleep 3600"


NEW QUESTION # 65
Create 2 nginx image pods in which one of them is labelled with env=prod and another one labelled with env=dev and verify the same.

Answer:

Explanation:
kubectl run --generator=run-pod/v1 --image=nginx -- labels=env=prod nginx-prod --dry-run -o yaml > nginx-prodpod.yaml Now, edit nginx-prod-pod.yaml file and remove entries like "creationTimestamp: null" "dnsPolicy: ClusterFirst" vim nginx-prod-pod.yaml apiVersion: v1 kind: Pod metadata:
labels:
env: prod
name: nginx-prod
spec:
containers:
- image: nginx
name: nginx-prod
restartPolicy: Always
# kubectl create -f nginx-prod-pod.yaml
kubectl run --generator=run-pod/v1 --image=nginx --
labels=env=dev nginx-dev --dry-run -o yaml > nginx-dev-pod.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
env: dev
name: nginx-dev
spec:
containers:
- image: nginx
name: nginx-dev
restartPolicy: Always
# kubectl create -f nginx-prod-dev.yaml
Verify :
kubectl get po --show-labels
kubectl get po -l env=prod
kubectl get po -l env=dev


NEW QUESTION # 66
......

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