CKA VALID TEST QUESTION | CKA VALID EXAM PDF

CKA Valid Test Question | CKA Valid Exam Pdf

CKA Valid Test Question | CKA Valid Exam Pdf

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The CKA program is highly respected in the industry and is recognized by many employers as a standard for Kubernetes expertise. It is a valuable certification for IT professionals who want to demonstrate their skills and knowledge in managing Kubernetes clusters. CKA Exam is available online and can be taken remotely, making it accessible to IT professionals around the world.

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Certified Kubernetes Administrator (CKA) Program Exam training torrent & CKA latest dumps & Certified Kubernetes Administrator (CKA) Program Exam study material

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Linux Foundation CKA (Certified Kubernetes Administrator) Program is a certification exam that has been designed to test and validate the skills of individuals who are looking to work with Kubernetes. Kubernetes is an open-source platform that is used to manage containerized applications. It is widely used in the cloud computing industry and is a critical skill for professionals who want to work with cloud-native technologies.

The CKA program is an excellent way for IT professionals to showcase their expertise in Kubernetes administration and advance their careers. Becoming a certified Kubernetes administrator can help professionals stand out in a crowded job market and demonstrate their commitment to ongoing learning and professional development. The CKA program is also a valuable resource for organizations that are looking to hire Kubernetes administrators. By hiring certified Kubernetes administrators, organizations can ensure that they have the skills and knowledge needed to effectively manage Kubernetes clusters and support their cloud-native applications.

Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q112-Q117):

NEW QUESTION # 112
List all configmap and secrets in the cluster in all namespace and write it to a file /opt/configmap-secret

Answer:

Explanation:
kubectl get configmap,secrets --all-namespaces > /opt/configmap-secret // Verify Cat /opt/configmap-secret


NEW QUESTION # 113
Score:7%

Task
Create a new PersistentVolumeClaim
* Name: pv-volume
* Class: csi-hostpath-sc
* Capacity: 10Mi
Create a new Pod which mounts the PersistentVolumeClaim as a volume:
* Name: web-server
* Image: nginx
* Mount path: /usr/share/nginx/html
Configure the new Pod to have ReadWriteOnce
Finally, using kubectl edit or kubectl patch PersistentVolumeClaim to a capacity of 70Mi and record that change.

Answer:

Explanation:
See the solution below.
Explanation
Solution:
vi pvc.yaml
storageclass pvc
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: pv-volume
spec:
accessModes:
- ReadWriteOnce
volumeMode: Filesystem
resources:
requests:
storage: 10Mi
storageClassName: csi-hostpath-sc
# vi pod-pvc.yaml
apiVersion: v1
kind: Pod
metadata:
name: web-server
spec:
containers:
- name: web-server
image: nginx
volumeMounts:
- mountPath: "/usr/share/nginx/html"
name: my-volume
volumes:
- name: my-volume
persistentVolumeClaim:
claimName: pv-volume
# craete
kubectl create -f pod-pvc.yaml
#edit
kubectl edit pvc pv-volume --record


NEW QUESTION # 114
You are running a service that handles requests from multiple pods. How can you scale the service to handle increased traffic without impacting the service availability during the scaling process?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Use a Deployment:
- Deploy the service using a Deployment with the desired number of replicas.
2. Define a Service:
- Create a Service that exposes the application to the outside world.
- Use a 'type: LoadBalancer' to distribute traffic across the pods.
3. Implement Horizontal Pod Autoscaler (HPA):
- Create an HPA that monitors the service's CPU usage.
- Configure the HPA to scale the Deployment based on the CPU utilization.

4. Test the Autoscaling: - Simulate increased traffic to the service. - Observe the HPA scaling the Deployment to meet the demand. 5. Monitor the Service: - Monitor the service's performance and ensure that it remains available and stable during scaling. 6. Adjust HPA Configuration: - Fine-tune the HPA configuration to optimize scaling based on specific performance needs.


NEW QUESTION # 115
You have a multi-cluster Kubernetes environment, and you need to implement cross-cluster communication between two clusters named 'cluster 1 and 'cluster?. You need to use CoreDNS to resolve service names across clusters. For example, a pod in cluster 1' should be able to access a service named 'my- service' running in 'cluster2'.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Install CoreDNS in Both Clusters:
- Follow the steps in the previous solution to install and configure CoreDNS in both 'cluster 1 ' and 'cluster?.
2. Configure Cross-Cluster DNS in CoreDNS:
- In 'cluster 1 ' , modify the CoreDNS configuration file to forward requests for services in 'cluster? to the CoreDNS service in 'cluster?.

- Repeat the same configuration for 'cluster2' , forwarding requests for services in 'cluster 1 ' to the CoreDNS service in 'clusterl'. 3. Configure Services with External Names: - In 'cluster? , configure the 'my-service' service to have an 'externalName' field set to 'my- service.clusterl .locar. This will tell CoreDNS to forward requests for 'my-service' to the CoreDNS service in 'cluster 1'.

4. Test Cross-Cluster Communication: - Deploy a pod in 'cluster 1 ' that tries to access 'my-service' in 'cluster?. - Verify that the pod can successfully communicate with the service in 'cluster? using its service name.


NEW QUESTION # 116
Get IP address of the pod - "nginx-dev"

Answer:

Explanation:
Kubect1 get po -o wide
Using JsonPath
kubect1 get pods -o=jsonpath='{range
.items[*]}{.metadata.name}{"t"}{.status.podIP}{"n"}{end}'


NEW QUESTION # 117
......

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