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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.

The CKA certification is valid for three years, and candidates can renew their certification by retaking the exam or by earning a higher-level certification. Certified Kubernetes Administrator (CKA) Program Exam certification is recognized by industry leaders, including AWS, Google Cloud, and Red Hat. Certified Kubernetes Administrator (CKA) Program Exam certification also provides access to a network of certified professionals and resources, including training, events, and community support. Overall, the CKA Certification is an excellent way to demonstrate your expertise in Kubernetes and advance your career in the cloud-native ecosystem.

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Levels of Certification

The CNCF Certified Kubernetes Administrator exam conducts 4 levels of certification covering different areas of Cloud Native Computing. Charges vary by level with the highest level of certification being the only one that is required in order to obtain the CNCF Certified Kubernetes Administrator certification. Subjects to be tested for each level are listed below.Future changes to the certification levels and pricing are possible.

Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q20-Q25):

NEW QUESTION # 20
Create an nginx pod which loads the secret as environment variables

A. // create a yml file
kubectl run nginx --image=nginx --restart=Never --dry-run -o
yaml > nginx.yml
// add env section below and create
vim nginx.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
run: nginx
name: nginx
spec:
containers:
- image: nginx
name: nginx
envFrom:
- secretRef:
name: my-secret
restartPolicy: Never
kubectl apply -f nginx.yaml
//verify
kubectl exec -it nginx - env
B. // create a yml file
kubectl run nginx --image=nginx --restart=Never --dry-run -o
yaml > nginx.yml
// add env section below and create
vim nginx.yaml
run: nginx
name: nginx
spec:
containers:
- image: nginx
name: nginx
envFrom:
- secretRef:
name: my-secret
restartPolicy: Never
kubectl apply -f nginx.yaml
//verify
kubectl exec -it nginx - env

Answer: A

NEW QUESTION # 21
Resume the rollout of the deployment

Answer:

Explanation:
kubectl rollout resume deploy webapp

NEW QUESTION # 22
You are running a Kubernetes cluster with a NodePort service exposing a web application on port 80. You want to access the web application from a client machine outside the cluster. However, the client machine is behind a NAT gateway and you cannot directly configure firewall rules on the gateway. How can you configure the Kubernetes cluster to allow the client machine to access the web application?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a NodePort Service:
- Create a NodePort service that exposes port 80 of the web application on a specific NodePort (for example,
30080).
- Code:

2. Configure NAT Gateway: - Configure the NAT gateway to forward traffic from the client machine's IP address and port to the Kubernetes cluster's IP address and the NodePort. - Note: This configuration will depend on the specific NAT gateway and its configuration options. 3. Access the Application: - On the client machine, access the web application by using the Kubernetes cluster's IP address and the NodePort. - Example: 'http://:30080'

NEW QUESTION # 23
Create a deployment as follows:
* Name:nginx-app
* Using containernginxwithversion 1.11.10-alpine
* The deployment should contain3replicas
Next, deploy the application with newversion1.11.13-alpine, byperforming a rolling update.
Finally, rollback that update to theprevious version1.11.10-alpine.

Answer:

Explanation:
See the solution below.
Explanation
solution

NEW QUESTION # 24
You are running a Kubernetes cluster with a critical application that requires high availability and resilience. You have a Deployment named 'web-app' with multiple replicas. Your current DNS setup relies on external DNS providers, but you want to implement CoreDNS within your cluster to enhance DNS resolution performance and reliability. You need to configure CoreDNS to resolve DNS queries for services within the cluster and for external domains.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 Create a CoreDNS ConfigMap:
- Create a ConfigMap named coredns' containing the CoreDNS configuration. You can use a basic configuration file or a more complex one tailored to your specific needs.

2. Deploy CoreDNS: - Deploy CoreDNS as a Deployment using the 'coredns' ConfigMap.

3. Configure Services for DNS Resolution: - Create a Service named 'coredns' of type 'ClusterlP' that exposes the CoreDNS Deployment on the cluster network.

4. Update Cluster DNS Configuration: - Modify the 'kube-system namespace 'ConfigMap' named 'cluster-dns' to point to the 'coredns' Service for DNS resolution.

5. Verify CoreDNS Functionality: - Use 'kubectl exec -it -- sh -c "nslookup ..svc.cluster.local"' to test DNS resolution for services within the cluster. - Use "kubectl exec -it sh -c "nslookup example.com"' to test DNS resolution for external domains. - If everything is configured correctly, CoreDNS should successfully resolve DNS queries.

NEW QUESTION # 25
......

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