CKA LATEST EXAM PDF & CKA EXAM TRAINING MATERIALS & CKA VALID EXAM TOPICS

CKA Latest Exam Pdf & CKA Exam Training Materials & CKA Valid Exam Topics

CKA Latest Exam Pdf & CKA Exam Training Materials & CKA Valid Exam Topics

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q34-Q39):

NEW QUESTION # 34
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: spec: 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 " # 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 # 35
You have a Kubernetes cluster with a deployment named 'nginx-deployment' in the 'default' namespace. This deployment uses a container image 'nginx:latest'.
You want to define an admission webhook that enforces a policy to prevent deployments from using 'nginx:latest' and instead forces the use of a specific versioned image like 'nginx:l .20.1'. Create the webhook configuration and admission controller code that implements this policy.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Create a Webhook Configuration:

2. Create a Service for the Admission Webhook:

3. Create the Admission Controller Code: Example in Go:

4. Build and Deploy the Admission Controller: Build the Go code. Deploy the admission controller as a container in the Kubernetes cluster. Create the Service for the webhook. Create the WebhookConfiguration with the correct CA bundle for the admission controller. The webhook configuration defines the rules for the admission controller, including the resources, operations, and failure policy. The admission controller code handles the validation of the deployment object. It checks the image name and rejects deployments that use the 'nginx:latest' image. The Service exposes the admission controller to the Kubernetes API. The CA bundle is used to secure communication between the webhook and the Kubernetes API. Note: Replace with the actual CA bundle data. The admission controller code should be deployed and configured according to your specific environment and needs.,


NEW QUESTION # 36
You are running an application in Kubernetes using a Deployment that defines 3 replicas. You need to perform a rolling update to the Deployment to upgrade the application to a new version. During the update process, you want to ensure that at least 2 replicas are always available, and the maximum number of new pods that can be created at the same time is also limited to 1. How can you configure the Deployment to achieve this rolling update strategy?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update Deployment YAML:
- Update the 'spec.replicas' field to the desired number of replicas for the new version.
- In the 'spec.strategy.rollingUpdate' section, set the 'maxUnavailable' to 1, meaning that only one pod can be unavailable during the update process.
- Set the maxSurge' to 1, limiting the number of new pods that can be created simultaneously to 1.

2. Apply the Updated Deployment: - Use 'kubectl apply -f deployment.yaml' to apply the changes to your cluster. 3. Monitor the Update Process: - Use 'kubectl get pods -l app=my-app' to monitor the pods. You will see a rolling update in progress: - One old pod will be terminated at a time. - One new pod will be created at a time. - The update will continue until all replicas are updated to the new version. 4. Verify the Update: - Once the update is complete, use 'kubectl describe deployment my-deployment' to check the deployment status. The 'updatedReplicas' field should match the 'replicas' field, indicating that the update was successful. By using 'maxUnavailable' and 'maxSurge' you control the number of unavailable and surge pods during the update process. This ensures a safe and controlled rolling update strategy.,


NEW QUESTION # 37
Create a file:
/opt/KUCC00302/kucc00302.txt that lists all pods that implement service baz in namespace development.
The format of the file should be one pod name per line.

Answer:

Explanation:
solution



NEW QUESTION # 38
Update the deployment with the image version 1.16.1 and verify the image and check the rollout history

Answer:

Explanation:
kubectl set image deploy/webapp nginx=nginx:1.16.1 kubectl describe deploy webapp | grep Image kubectl rollout history deploy webapp


NEW QUESTION # 39
......

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