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Linux Foundation CKA Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Storage	10%	- Storage classes - PersistentVolumes and PersistentVolumeClaims
Topic 2: Cluster Architecture, Installation & Configuration	25%	- Cluster installation and configuration - Kubernetes architecture components - High availability setup
Topic 3: Troubleshooting	30%	- Application and networking debugging - Cluster component troubleshooting
Topic 4: Services & Networking	20%	- Ingress configuration - Services (ClusterIP, NodePort, LoadBalancer) - Network policies
Topic 5: Workloads & Scheduling	15%	- Deployments and rolling updates - Scheduling constraints - ConfigMaps and Secrets

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

NEW QUESTION # 78
You have a Deployment named 'frontend-deployment' with 5 replicas of a frontend container. You need to implement a rolling update strategy that allows for a maximum of 2 pods to be unavailable at any given time. You also want to ensure that the update process is completed within a specified timeout of 8 minutes. If the update fails to complete within the timeout, the deployment should revert to the previous version. Additionally, you want to configure a 'post-start' hook for the frontend container that executes a health check script to verify the application's readiness before it starts accepting traffic.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas' to 5.
- Define 'maxUnavailable: 2' and 'maxSurge: 0' in the 'strategy.rollingUpdate' section to control the rolling update process.
- Configure a 'strategy.type' to 'RollingUpdate' to trigger a rolling update when the deployment is updated.
- Set Always' to ensure that the new image is pulled even if
it exists in the pod's local cache.
- Add a 'spec.progressDeadlineSeconds: 480' to set a timeout of 8 minutes for the update process.
- Add a 'spec.template.spec.containers[0].lifecycle.postStart' hook to define a script that executes a health check script before the container starts accepting traffic.

2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f frontend-deployment.yaml' 3. Verify the Deployment: - Check the status of the deployment using 'kubectl get deployments frontend-deployment' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Push a new image to the 'my.org/frontend:latest' Docker Hub repository. 5. Monitor the Deployment: - Use 'kubectl get pods -l app=frontend' to monitor the pod updates during the rolling update process. 6. Observe Rollback if Timeout Exceeds: - If the update process takes longer than 8 minutes to complete, the deployment will be rolled back to the previous version. This can be observed using 'kubectl describe deployment frontend-deployment' and checking the 'updatedReplicas' and 'availableReplicas' fields.,

NEW QUESTION # 79
Create a pod as follows:
* Name: non-persistent-redis
* container Image: redis
* Volume with name: cache-control
* Mount path: /data/redis
The pod should launch in the staging namespace and the volume must not be persistent.

Answer:

Explanation:
See the solution below.
Explanation
solution

NEW QUESTION # 80
Get the number of schedulable nodes and write to a file
/opt/schedulable-nodes.txt

A. kubectl get nodes -o jsonpath="{range
.items[*]}{.metadata.name}
{.spec.taints[?(@.effect=='NoSchedule')].effect}{\"\n\"}{end}"
| awk 'NF==11 {print $0}' > /opt/schedulable-nodes.txt
// Verify
cat /opt/schedulable-nodes.txt
B. kubectl get nodes -o jsonpath="{range
.items[*]}{.metadata.name}
{.spec.taints[?(@.effect=='NoSchedule')].effect}{\"\n\"}{end}"
| awk 'NF==1 {print $0}' > /opt/schedulable-nodes.txt
// Verify
cat /opt/schedulable-nodes.txt

Answer: B

NEW QUESTION # 81
Score: 4%

Task
Scale the deployment presentation to 6 pods.

Answer:

Explanation:
Solution:
kubectl get deployment
kubectl scale deployment.apps/presentation --replicas=6

NEW QUESTION # 82
Create a nginx pod that will be deployed to node with the label
"gpu=true"

A. kubectl run nginx --image=nginx --restart=Always --dry-run -o
yaml > nodeselector-pod.yaml
// add the nodeSelector like below and create the pod
kubectl apply -f nodeselector-pod.yaml
vim nodeselector-pod.yaml
apiVersion: v1
kind: Pod
metadata:
name: nginx
spec:
nodeSelector:
gpu: true
containers:
- image: nginx
name: nginx
restartPolicy: Always
kubectl apply -f nodeselector-pod.yaml
//Verify
kubectl get no -show-labels
kubectl get po
kubectl describe po nginx | grep Node-Selectors
B. kubectl run nginx --image=nginx --restart=Always --dry-run -o
yaml > nodeselector-pod.yaml
// add the nodeSelector like below and create the pod
kubectl apply -f nodeselector-pod.yaml
vim nodeselector-pod.yaml
apiVersion: v1
kind: Pod
metadata:
name: nginx
spec:
nodeSelector:
gpu: true
yaml
//Verify
kubectl get no -show-labels
kubectl get po
kubectl describe po nginx | grep Node-Selectors

Answer: A

NEW QUESTION # 83
......

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