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Linux Foundation Certified Kubernetes Administrator (CKA) program is a certification exam that validates the skills and knowledge of professionals who work with Kubernetes. Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. The CKA program is designed to test the ability of individuals to install, configure, and manage Kubernetes clusters.

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Linux Foundation CKA: Certified Kubernetes Administrator (CKA) Program is a certification program that tests the skills and knowledge of individuals in managing and administering Kubernetes clusters. Kubernetes is an open-source container orchestration platform that is widely used in the industry for automating deployment, scaling, and management of containerized applications. The CKA program is designed to validate an individual's ability to design, configure, and manage Kubernetes clusters.

Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q53-Q58):

NEW QUESTION # 53
Check the image version in pod without the describe command

Answer:

Explanation:
kubectl get po nginx -o jsonpath='{.spec.containers[].image}{" "}'

NEW QUESTION # 54
You have two Kubernetes clusters, 'cluster 1' and 'cluster2, and you need to establish a connection between the two clusters using a NetworkPolicy. You want to allow all traffic from pods in 'cluster 1' to pods in 'cluster? , and you need to implement this using an Ingress rule. What steps are required to configure this connection?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Create a NetworkPolicy in 'cluster?
- Create a NetworkPolicy in 'cluster? that allows all traffic from pods in 'cluster 1'
- Code:

2. Create an Ingress in 'cluster2: - Create an Ingress in 'cluster? that routes traffic from 'clusterl' to the appropriate services or pods in cluster?. - Code:

3. Apply the Configurations: - Apply the NetworkPolicy and Ingress resources to the respective clusters using 'kubectl apply -f networkpolicy.yaml' and 'kubectl apply -f ingress.yaml'.

NEW QUESTION # 55
You have a Deployment with 5 replicas. You want to increase the number of replicas to 10, but only after ensuring that the new pods are healthy and ready to serve traffic.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas' field in the Deployment YAML to 10.

2. Apply the Changes: - Apply the updated YAML file using 'kubectl apply -f my-deployment.yaml' 3. Monitor Pod Status: - Use 'kubectl get pods -l app=my-app' to monitor the status of the pods. - Ensure that the new pods are in the "Running' state and have a 'Ready' status. 4. Check Liveness and Readiness Probes: - If applicable, ensure that liveness and readiness probes are configured to check the health of the pods. - This helps in identifying and restarting unhealthy pods. 5. Verify Service Availability: - Use 'kubectl get services my-service" to check the service status. - Ensure that the service is still available and serving traffic. 6. Increase Replicas: - Once the new pods are healthy and ready, the deployment will automatically scale up to 10 replicas.

NEW QUESTION # 56
You have a Kubernetes cluster with a multi-tenant setup where different teams manage their own applications. You need to enforce a policy where only developers from the "engineering" team can create deployments for applications within the "dev" namespace. How would you implement this using RBAC?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
Step 1: Create a Role for the "engineering" team

Step 2: Create a RoleBinding to assign the role to the "engineering" team

- The Role defines the permissions for the "engineering" team, allowing them to create deployments in the "dev" namespace. - The RoleBinding associates the "engineering-role" with the user "john.doe@example.com" (representing a developer from the "engineering" team). Step 3: Validate the setup - A developer from the "engineering" team should be able to create deployments in the "dev" namespace. - Other users or teams without the appropriate permissions should be prevented from creating deployments in the "dev" namespace.

NEW QUESTION # 57
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 # 58
......

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