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Linux Foundation CKA Exam Syllabus Topics:

Section	Weight	Objectives
Services & Networking	20%	- Network policies - Service types: ClusterIP, NodePort, LoadBalancer, ExternalName - CoreDNS and service discovery - Ingress resources and controllers - CNI configuration and troubleshooting
Workloads & Scheduling	15%	- Configure applications with ConfigMaps and Secrets - Deployments, rolling updates and rollbacks - Pod lifecycle, init containers, probes - Pod scheduling: node selector, affinity, taints/tolerations - Resource requests, limits and autoscaling
Storage	10%	- Volume types and access modes - StatefulSet storage configuration - StorageClasses and dynamic provisioning - Persistent Volumes (PV) and Persistent Volume Claims (PVC)
Cluster Architecture, Installation & Configuration	25%	- Install components via Helm / Kustomize - Manage cluster lifecycle and upgrades - Create and manage clusters with kubeadm - Prepare infrastructure for cluster installation - Understand CNI, CSI, CRI interfaces - Work with CRDs and Operators - Manage RBAC - Implement high availability control plane
Troubleshooting	30%	- Cluster component health checks - Control plane component failures - Network connectivity and DNS resolution problems - Pod and application failures - Log collection and analysis - Worker node issues and recovery

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q43-Q48):

NEW QUESTION # 43
Score: 5%

Task
From the pod label name=cpu-utilizer, find pods running high CPU workloads and write the name of the pod consuming most CPU to the file /opt/KUTR00401/KUTR00401.txt (which already exists).

Answer:

Explanation:
Solution:
kubectl top -l name=cpu-user -A
echo 'pod name' >> /opt/KUT00401/KUT00401.txt

NEW QUESTION # 44
Create an nginx pod and list the pod with different levels of verbosity

A. // create a pod
kubectl run nginx --image=nginx --restart=Never --port=80
// List the pod with different verbosity
kubectl get po nginx --v=7
kubectl get po nginx --v=6
kubectl get po nginx --v=9
B. // create a pod
kubectl run nginx --image=nginx --restart=Never --port=80
// List the pod with different verbosity
kubectl get po nginx --v=7
kubectl get po nginx --v=8
kubectl get po nginx --v=9

Answer: B

NEW QUESTION # 45
Create a pod that having 3 containers in it? (Multi-Container)

A. image=nginx, image=redis, image=consul
Name nginx container as "nginx-container"
Name redis container as "redis-container"
Name consul container as "consul-container"
Create a pod manifest file for a container and append container
section for rest of the images
kubectl run multi-container --generator=run-pod/v1 --image=nginx --
dry-run -o yaml > multi-container.yaml
# then
vim multi-container.yaml
labels:
run: multi-container
name: multi-container
spec:
containers:
- image: nginx
name: nginx-container
- image: redis
name: consul-container
restartPolicy: Always
B. image=nginx, image=redis, image=consul
Name nginx container as "nginx-container"
Name redis container as "redis-container"
Name consul container as "consul-container"
Create a pod manifest file for a container and append container
section for rest of the images
kubectl run multi-container --generator=run-pod/v1 --image=nginx --
dry-run -o yaml > multi-container.yaml
# then
vim multi-container.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
run: multi-container
name: multi-container
spec:
containers:
- image: nginx
name: nginx-container
- image: redis
name: redis-container
- image: consul
name: consul-container
restartPolicy: Always

Answer: B

NEW QUESTION # 46
Score: 7%

Task
Create a new nginx Ingress resource as follows:
* Name: ping
* Namespace: ing-internal
* Exposing service hi on path /hi using service port 5678

Answer:

Explanation:
See the solution below.
Explanation
Solution:
vi ingress.yaml
#
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: ping
namespace: ing-internal
spec:
rules:
- http:
paths:
- path: /hi
pathType: Prefix
backend:
service:
name: hi
port:
number: 5678
#
kubectl create -f ingress.yaml

NEW QUESTION # 47
You have a Deployment named 'worker-deployment' with 10 replicas of a worker container. You need to implement a rolling update strategy that allows for a maximum of 3 pods to be unavailable at any given time during the update process. You also want to ensure that the update process is completed within a specified timeout of 10 minutes. If the update fails to complete within the timeout, the deployment should revert to the previous version. Additionally, you want to implement a pause functionality to temporarily halt the rolling update process.

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 10.
- Define 'maxUnavailable: 3' 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: 600' to set a timeout of 10 minutes for the update process.

2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f worker-deployment.yaml' 3. Verify the Deployment: - Check the status of the deployment using 'kubectl get deployments worker-deployment' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Push a new image to the 'my.org/worker:latest' Docker Hub repository. 5. Monitor the Deployment: - Use "kubectl get pods -l app=worker' to monitor the pod updates during the rolling update process. 6. Pause the Rolling Update: - To pause the rolling update process, use the following command: bash kubectl rollout pause deployment worker-deployment 7. Resume the Rolling Update: - To resume the rolling update process, use the following command: bash kubectl rollout resume deployment worker-deployment 8. Observe Rollback if Timeout Exceeds: - If the update process takes longer than 10 minutes to complete, the deployment will be rolled back to the previous version. This can be observed using 'kubectl describe deployment worker-deployment' and checking the 'updatedReplicas' and 'availableReplicas" fields.

NEW QUESTION # 48
......

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