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The CKA Exam is designed to test the knowledge and proficiency of professionals in Kubernetes administration. CKA exam consists of a set of performance-based tasks that assess the candidate's ability to deploy, configure, manage, and troubleshoot Kubernetes clusters. CKA exam is conducted online and requires candidates to complete a set of practical tasks within a specified time frame. CKA exam covers a wide range of Kubernetes administration topics, including cluster architecture, networking, storage, security, and troubleshooting.

Linux Foundation Certified Kubernetes Administrator (CKA) program is an industry-recognized certification that validates the skills and expertise of professionals in managing and deploying Kubernetes clusters. Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. As Kubernetes adoption continues to grow, the demand for certified professionals with the necessary skills and knowledge to manage Kubernetes clusters has also increased.

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q17-Q22):

NEW QUESTION # 17
Score:7%

Context
An existing Pod needs to be integrated into the Kubernetes built-in logging architecture (e. g. kubectl logs).
Adding a streaming sidecar container is a good and common way to accomplish this requirement.
Task
Add a sidecar container named sidecar, using the busybox Image, to the existing Pod big-corp-app. The new sidecar container has to run the following command:
/bin/sh -c tail -n+1 -f /va r/log/big-corp-app.log
Use a Volume, mounted at /var/log, to make the log file big-corp-app.log available to the sidecar container.

Answer:

Explanation:
See the solution below.
Explanation
Solution:
#
kubectl get pod big-corp-app -o yaml
#
apiVersion: v1
kind: Pod
metadata:
name: big-corp-app
spec:
containers:
- name: big-corp-app
image: busybox
args:
- /bin/sh
- -c
- >
i=0;
while true;
do
echo "$(date) INFO $i" >> /var/log/big-corp-app.log;
i=$((i+1));
sleep 1;
done
volumeMounts:
- name: logs
mountPath: /var/log
- name: count-log-1
image: busybox
args: [/bin/sh, -c, 'tail -n+1 -f /var/log/big-corp-app.log']
volumeMounts:
- name: logs
mountPath: /var/log
volumes:
- name: logs
emptyDir: {
}
#
kubectl logs big-corp-app -c count-log-1

NEW QUESTION # 18
You have a Deployment that runs a containerized application. The application requires access to a specific service running in a different namespace. You need to define a NetworkPolicy to allow traffic from the application's Pods to the service in the other namespace only on port 8080.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Network Policy Definition:

2. Explanation: - 'apiVersion: networking.k8s.io/v1 Specifies the API version for NetworkPolicy resources. - 'kind: NetworkPolicy': Specifies that this is a NetworkPolicy resource. - 'metadata.name: allow-service-access': Sets the name of the NetworkPolicy. - 'metadata.namespace: Specifies the namespace where the NetworkPolicy is applied. Replace with the actual namespace where your deployment is running. - 'spec.podSelector.matchLabels: app: application': This selector targets Pods labeled with 'app: application', ensuring the NetworkPolicy applies to the application Pods. - 'spec.egress.to.namespaceSelector.matchLabels: service-namespace: This allows outgoing traffic only to the namespace labeled with 'service-namespace: Replace with the actual namespace of the service. - 'spec.egress.ports.port: 8080': This allows communication only on port 8080. - 'spec.egress.ports.protocol: TCP': Specifies the protocol (TCP) for the allowed port. 3. How it works: - This NetworkPolicy allows outgoing traffic from the application Pods only to the specified service in the different namespace and only on port 8080. It effectively restricts communication from the application Pods to only the intended target service. 4. Implementation: - Apply the YAML using 'kubectl apply -f allow-service-access.yaml' 5. Verification: After applying the NetworkPolicy, test the connectivity from the application Pods to the service in the other namespace on port 8080. You should observe that the NetworkPolicy successfully enforces the restrictions, allowing access only to the specified port and service.]

NEW QUESTION # 19
Create a pod with init container which create a file "test.txt"
in "workdir" directory. Main container should check a file
"test.txt" exists and execute sleep 9999 if the file exists.

A. // create an initial yaml file with this
kubectl run init-cont-pod --image=alpine --restart=Never --dry-run -o
yaml > init-cont-pod.yaml
// edit the yml as below and create it
vim init-cont-pod.yaml
apiVersion: v1
kind: Pod
metadata:
name: init-cont-pod
labels:
app: myapp
spec:
volumes:
- name: test-volume
emptyDir: {}
containers:
- name: main-container
image: busybox:1.28
command: ['sh', '-c', 'if [ -f /workdir/test.txt ]; then sleep
9999; fi']
volumeMounts:
image: busybox:1.28
command: ['sh', '-c', "mkdir /workdir; echo >
/workdir/test.txt"]
volumeMounts:
- name: test-volume
mountPath: /workdir
// Create the pod
kubectl apply -f init-cont-pod.yaml
kubectl get pods
// Check Events by doing
kubectl describe po init-cont-pod
Init Containers:
init-myservice:
Container ID:
docker://ebdbf5fad1c95111d9b0e0e2e743c2e347c81b8d4eb5abcccdfe1dd74524
0d4f
Image: busybox:1.28
Image ID: dockerpullable://busybox@sha256:141c253bc4c3fd0a201d32dc1f493bcf3fff003b6df
416dea4f41046e0f37d47
Port: <none>
Host Port: <none>
Command:
sh
-c
mkdir /workdir; echo > /workdir/test.txt
State: Terminated Reason: Completed
B. // create an initial yaml file with this
kubectl run init-cont-pod --image=alpine --restart=Never --dry-run -o
yaml > init-cont-pod.yaml
// edit the yml as below and create it
vim init-cont-pod.yaml
apiVersion: v1
kind: Pod
metadata:
name: init-cont-pod
labels:
app: myapp
spec:
volumes:
- name: test-volume
emptyDir: {}
containers:
- name: main-container
image: busybox:1.28
command: ['sh', '-c', 'if [ -f /workdir/test.txt ]; then sleep
9999; fi']
volumeMounts:
- name: test-volume
mountPath: /workdir
initContainers:
- name: init-myservice
image: busybox:1.28
command: ['sh', '-c', "mkdir /workdir; echo >
/workdir/test.txt"]
volumeMounts:
- name: test-volume
mountPath: /workdir
// Create the pod
kubectl apply -f init-cont-pod.yaml
kubectl get pods
// Check Events by doing
kubectl describe po init-cont-pod
Init Containers:
init-myservice:
Container ID:
docker://ebdbf5fad1c95111d9b0e0e2e743c2e347c81b8d4eb5abcccdfe1dd74524
0d4f
Image: busybox:1.28
Image ID: dockerpullable://busybox@sha256:141c253bc4c3fd0a201d32dc1f493bcf3fff003b6df
416dea4f41046e0f37d47
Port: <none>
Host Port: <none>
Command:
sh
-c
mkdir /workdir; echo > /workdir/test.txt
State: Terminated Reason: Completed

Answer: B

NEW QUESTION # 20
You are running an application in Kubernetes using a Deployment that defines 3 replicas. You need to perform a rolling update to the Deployment to upgrade the application to a new version. During the update process, you want to ensure that at least 2 replicas are always available, and the maximum number of new pods that can be created at the same time is also limited to 1. How can you configure the Deployment to achieve this rolling update strategy?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update Deployment YAML:
- Update the 'spec.replicas' field to the desired number of replicas for the new version.
- In the 'spec.strategy.rollingUpdate' section, set the 'maxUnavailable' to 1, meaning that only one pod can be unavailable during the update process.
- Set the maxSurge' to 1, limiting the number of new pods that can be created simultaneously to 1.

2. Apply the Updated Deployment: - Use 'kubectl apply -f deployment.yaml' to apply the changes to your cluster. 3. Monitor the Update Process: - Use 'kubectl get pods -l app=my-app' to monitor the pods. You will see a rolling update in progress: - One old pod will be terminated at a time. - One new pod will be created at a time. - The update will continue until all replicas are updated to the new version. 4. Verify the Update: - Once the update is complete, use 'kubectl describe deployment my-deployment' to check the deployment status. The 'updatedReplicas' field should match the 'replicas' field, indicating that the update was successful. By using 'maxUnavailable' and 'maxSurge' you control the number of unavailable and surge pods during the update process. This ensures a safe and controlled rolling update strategy.,

NEW QUESTION # 21
Create a Cronjob with busybox image that prints date and hello from kubernetes cluster message for every minute

A. CronJob Syntax:
* --> Minute
* --> Hours
* --> Day of The Month
* --> Month
* --> Day of the Week
*/1 * * * * --> Execute a command every one minutes.
vim date-job.yaml
apiVersion: batch/v1beta1
kind: CronJob
metadata:
name: date-job
spec:
schedule: "*/1 * * * *"
jobTemplate:
spec:
template:
- /bin/sh
- -c
- date; echo Hello from the Kubernetes cluster
restartPolicy: OnFailure
kubectl apply -f date-job.yaml
//Verify
kubectl get cj date-job -o yaml
B. CronJob Syntax:
* --> Minute
* --> Hours
* --> Day of The Month
* --> Month
* --> Day of the Week
*/1 * * * * --> Execute a command every one minutes.
vim date-job.yaml
apiVersion: batch/v1beta1
kind: CronJob
metadata:
name: date-job
spec:
schedule: "*/1 * * * *"
jobTemplate:
spec:
template:
spec:
containers:
- name: hello
image: busybox
args:
- /bin/sh
- -c
- date; echo Hello from the Kubernetes cluster
restartPolicy: OnFailure
kubectl apply -f date-job.yaml
//Verify
kubectl get cj date-job -o yaml

Answer: B

NEW QUESTION # 22
......

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