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Linux Foundation CKA Exam Syllabus Topics:

Section	Weight	Objectives
Cluster Architecture, Installation & Configuration	25%	- Cluster installation and configuration - High availability setup - Kubernetes architecture components
Workloads & Scheduling	15%	- Deployments and rolling updates - Scheduling constraints - ConfigMaps and Secrets
Troubleshooting	30%	- Cluster component troubleshooting - Application and networking debugging
Services & Networking	20%	- Ingress configuration - Network policies - Services (ClusterIP, NodePort, LoadBalancer)
Storage	10%	- Storage classes - PersistentVolumes and PersistentVolumeClaims

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q10-Q15):

NEW QUESTION # 10
You need to expose a service with multiple endpoints, each serving a specific path, using a single Ingress resource. Each endpoint is running on a different port, and you want to configure SSL termination for the entire Ingress. How would you achieve this?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the Ingress Resource:
- Create an Ingress resource with the desired host and paths for each endpoint.
- Example:

- This configuration defines the host "example.com" and two paths: "/api" routed to "api-service" on port 8080 and "[blog" routed to "blog-service" on port 8081. 2. Create the TLS Secret: - Create a Secret containing your SSL certificate and private key for the domain "example.com". - Example:

- Replace " and with the actual content of your SSL certificate and private key. 3. Deploy the Services: - Ensure that the services "api-service" and "blog-service" are deployed and accessible on their respective ports (8080 and 8081 4. Apply the Ingress Configuration: - Apply the Ingress configuration using 'kubectl apply -f multiple-endpoints-ingress.yamP. 5. Verify the Ingress: - Access the Ingress using the defined host "example.com". - Check that requests to "/api" are routed to the "api-service" and requests to "[blog" are routed to the "blog- service", with SSL termination working as expected.

NEW QUESTION # 11
Ensure a single instance of pod nginx is running on each node of the Kubernetes cluster where nginx also represents the Image name which has to be used. Do not override any taints currently in place.
Use DaemonSet to complete this task and use ds-kusc00201 as DaemonSet name.

Answer:

Explanation:
solution

NEW QUESTION # 12
Create a PersistentVolumeClaim of at least 3Gi storage and access mode ReadWriteOnce and verify status is Bound

A. vim task-pv-claim.yaml
apiVersion: v2
kind: PersistentVolumeClaim
metadata:
name: task-pv-claim
spec:
storageClassName: ""
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 4Gi
kubectl apply -f task-pv-claim.yaml
//Verify
kubectl get pv
NAME CAPACITY ACCESS
MODES RECLAIM POLICY STATUS CLAIM
STORAGECLASS REASON AGE
task-pv-volume 4Gi RWO
Retain Bound default/task-pv-claim
6m16s
kubectl get pvc
NAME STATUS VOLUME
CAPACITY ACCESS MODES STORAGECLASS AGE
task-pv-claim Bound task-pv-volume
5Gi RWO 6s
B. vim task-pv-claim.yaml
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: task-pv-claim
spec:
storageClassName: ""
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 3Gi
kubectl apply -f task-pv-claim.yaml
//Verify
kubectl get pv
NAME CAPACITY ACCESS
MODES RECLAIM POLICY STATUS CLAIM
STORAGECLASS REASON AGE
task-pv-volume 5Gi RWO
Retain Bound default/task-pv-claim
6m16s
kubectl get pvc
NAME STATUS VOLUME
CAPACITY ACCESS MODES STORAGECLASS AGE
task-pv-claim Bound task-pv-volume
5Gi RWO 6s

Answer: B

NEW QUESTION # 13
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 # 14
Create a Pod nginx and specify both CPU, memory requests and limits together and verify.

A. kubectl run nginx-request --image=nginx --restart=Always --dryrun -o yaml > nginx-request.yml
// add the resources section and create
apiVersion: v1
kind: Pod
metadata:
labels:
run: nginx
name: nginx-request
spec:
containers:
- image: nginx
name: nginx
resources:
requests:
memory: "100Mi"
cpu: "0.5"
limits:
memory: "200Mi"
cpu: "1"
restartPolicy: Always
k kubectl apply -f nginx-request.yaml
// Verify
Kubectl top po
B. kubectl run nginx-request --image=nginx --restart=Always --dryrun -o yaml > nginx-request.yml
// add the resources section and create
apiVersion: v1
kind: Pod
metadata:
labels:
run: nginx
name: nginx
resources:
requests:
memory: "100Mi"
cpu: "0.4"
limits:
memory: "200Mi"
cpu: "7"
restartPolicy: Always
k kubectl apply -f nginx-request.yaml
// Verify
Kubectl top po

Answer: A

NEW QUESTION # 15
......

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