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The CKA certification is recognized globally and is highly valued by employers in the IT industry. Holding a CKA certification demonstrates that an individual has the skills and knowledge required to work with Kubernetes and can be relied upon to deploy and manage Kubernetes clusters in a production environment. Certified Kubernetes Administrator (CKA) Program Exam certification is also a requirement for many job roles in the field of Kubernetes, including Kubernetes administrators, DevOps engineers, and cloud infrastructure engineers.

The CKA Exam is highly rigorous and requires extensive preparation. Candidates must have a deep understanding of Kubernetes architecture, networking, storage, security, and troubleshooting. CKA exam also tests the candidate's ability to work with different Kubernetes tools such as kubectl, kubeadm, etcd, and kubelet.

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q78-Q83):

NEW QUESTION # 78
You have a Kubernetes cluster with a Deployment named 'web-app' running 3 replicas. One of the pods in the Deployment is consistently crashing, and you suspect it is due to resource limitations. You need to investigate the resource usage of the failing pod and adjust its resource requests and limits to prevent it from crashing.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the Failing Pod:
- Use "kubectl get pods -l app=web-app' to list pods in the 'web-app' Deployment.
- Identify the pod that is consistently crashing. You might see an event in the pod's description like "Container
'web-app' exited with code 137" which indicates an OOMKilled event.
2. Examine Resource Usage:
- Get detailed information about the failing pod using 'kubectl describe pod '
- Look for the "Containers" section and pay attention to the resource usage metrics:
- CPU Usage: This will indicate how much CPU the container is using.
- Memory Usage: This shows how much memory the container is consuming.
- Resource Requests: This indicates how much CPU and memory the container is requesting.
- Resource Limits: This shows how much CPU and memory the container is allowed to use.
3. Adjust Resource Requests and Limits:
- Based on the resource usage and the "Resource Requests" and "Resource Limits" you observed in the previous step, increase the requests and limits for the container.
- Example: If the container consistently uses 200m CPU and 250Mi memory, increase the requests and limits to
250m CPU and 500Mi memory.
- Edit the Deployment YAML:

4. Update the Deployment: - Apply the updated YAML using 'kubectl apply -f web-app.yamP 5. Monitor the Pod: - Observe the pod's resource usage and stability after the update. - You can use 'kubectl describe pod ' or 'kubectl top pod to monitor resource usage. 6. Further Troubleshooting: - If the pod continues to crash, you might need to consider other factors, such as: - Container image optimizations: Ensure the container image is optimized for efficient resource consumption. - Application code adjustments: Analyze the application code for any resource-intensive operations. - Vertical Pod Autoscaling (VPA): Configure VPA to automatically adjust the resource requests and limits of pods based on their resource usage.

NEW QUESTION # 79
You are managing a Kubernetes cluster with a complex deployment scenario. The cluster has multiple namespaces, each with its own set of applications and users. You need to create a robust RBAC system to enforce fine-grained access control.
Current Setup:
Namespace: 'dev', 'staging', 'production'
Users: 'developer', 'qa', 'admin'
Applications: 'appl', 'app2' in 'dev', 'app3' in 'staging', 'app4' in 'production' Requirements:
'developer' should be able to access and manage 'appl' and 'app2' in the 'dev' namespace.
'qa' should be able to access and manage 'app3' in the 'staging' namespace.
'admin' should have full cluster-wide access.
Task:
Create the necessary Role, RoleBinding, and ClusterRole objects to implement this RBAC system.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create Roles for 'developer' and 'qa':

2. Create RoleBinding for 'developer' and 'qa':

3. Create ClusterRole for 'admin'.

4. Create ClusterRoleBindin for 'admin'.

We created separate roles (developer-role', 'cp-role') for each user group, limiting their access to specific namespaces and resources. We bound these roles to users using RoleBindings in the respective namespaces. For 'admin', we created a ClusterRole Cadmin-clusterrole') with full access to all resources, and bound it using a ClusterRoleBinding. This setup ensures that each user has appropriate access rights based on their role and responsibilities. ,

NEW QUESTION # 80
Create a deployment spec file that will:
Launch 7 replicas of the nginx Image with the label app_runtime_stage=dev deployment name: kual00201 Save a copy of this spec file to /opt/KUAL00201/spec_deployment.yaml (or /opt/KUAL00201/spec_deployment.json).
When you are done, clean up (delete) any new Kubernetes API object that you produced during this task.

Answer:

Explanation:
solution

NEW QUESTION # 81
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 access on the volume.
Finally, using kubectl edit or kubectl patch expand the PersistentVolumeClaim to a capacity of 70Mi and record that change.

Answer:

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 # 82
Create a Job with an image node which prints node version and
verifies there is a pod created for this job

A. kubectl create job nodeversion --image=node -- node -v
kubectl get job -w
kubectl get pod
YAML File:
apiVersion: batch/v1
kind: Job
metadata:
labels:
job-name: nodeversion
name: nodeversion
spec:
completions: 1
parallelism: 1
labels:
job-name: nodeversion
spec:
containers:
- command:
- node
- -v
image: node
imagePullPolicy: Always
name: nodeversion
restartPolicy: Never
B. kubectl create job nodeversion --image=node -- node -v
kubectl get job -w
kubectl get pod
YAML File:
apiVersion: batch/v1
kind: Job
metadata:
labels:
job-name: nodeversion
name: nodeversion
spec:
completions: 1
parallelism: 1
selector:
matchLabels:
job-name: nodeversion
template:
metadata:
labels:
job-name: nodeversion
spec:
containers:
- command:
- node
- -v
image: node
imagePullPolicy: Always
name: nodeversion
restartPolicy: Never

Answer: B

NEW QUESTION # 83
......

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