CKA Exam Resources & CKA Actual Questions & CKA Exam Guide

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The Linux Foundation CKA online exam is the best way to prepare for the Linux Foundation CKA exam. Actualtests4sure has a huge selection of CKA dumps and topics that you can choose from. The CKA Exam Questions are categorized into specific areas, letting you focus on the Linux Foundation CKA subject areas you need to work on.

The CKA exam is designed for IT professionals who have experience in administering Kubernetes clusters. The exam is suitable for system administrators, DevOps engineers, and developers who work with Kubernetes. Candidates must have a solid understanding of Linux command-line tools, Docker containers, and Kubernetes concepts such as pods, services, and deployments. The exam also covers advanced topics such as Kubernetes networking, security, and storage.

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The Linux Foundation CKA certification has become a benchmark for Kubernetes expertise in the industry. Organizations are increasingly seeking certified Kubernetes administrators to manage their Kubernetes infrastructure. The certification not only validates the candidate’s skills but also demonstrates their commitment to keeping up with the latest industry trends and technologies. The CKA certification provides a competitive edge to the candidate and opens up new career opportunities.

Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q21-Q26):

NEW QUESTION # 21
Create a persistent volume with name app-data, of capacity 2Gi and access mode ReadWriteMany. The type of volume is hostPath and its location is /srv/app-data.

Answer:

Explanation:
solution
Persistent Volume
A persistent volume is a piece of storage in a Kubernetes cluster. PersistentVolumes are a cluster-level resource like nodes, which don’t belong to any namespace. It is provisioned by the administrator and has a particular file size. This way, a developer deploying their app on Kubernetes need not know the underlying infrastructure. When the developer needs a certain amount of persistent storage for their application, the system administrator configures the cluster so that they consume the PersistentVolume provisioned in an easy way.
Creating Persistent Volume
kind: PersistentVolume apiVersion: v1 metadata: name:app-data spec: capacity: # defines the capacity of PV we are creating storage: 2Gi #the amount of storage we are tying to claim accessModes: # defines the rights of the volume we are creating – ReadWriteMany hostPath: path: “/srv/app-data” # path to which we are creating the volume Challenge Create a Persistent Volume named app-data, with access mode ReadWriteMany, storage classname shared, 2Gi of storage capacity and the host path /srv/app-data.

2. Save the file and create the persistent volume.

3. View the persistent volume.

Our persistent volume status is available meaning it is available and it has not been mounted yet. This status will change when we mount the persistentVolume to a persistentVolumeClaim.
PersistentVolumeClaim
In a real ecosystem, a system admin will create the PersistentVolume then a developer will create a PersistentVolumeClaim which will be referenced in a pod. A PersistentVolumeClaim is created by specifying the minimum size and the access mode they require from the persistentVolume.
Challenge
Create a Persistent Volume Claim that requests the Persistent Volume we had created above. The claim should request 2Gi. Ensure that the Persistent Volume Claim has the same storageClassName as the persistentVolume you had previously created.
kind: PersistentVolume apiVersion: v1 metadata: name:app-data
spec:
accessModes: – ReadWriteMany resources:
requests: storage: 2Gi
storageClassName: shared
2. Save and create the pvc
[email protected]:~ (extreme-clone-2654111)$ kubect1 create -f app-data.yaml persistentvolumeclaim/app-data created
3. View the pvc

4. Let’s see what has changed in the pv we had initially created.

Our status has now changed from available to bound.
5. Create a new pod named myapp with image nginx that will be used to Mount the Persistent Volume Claim with the path /var/app/config.
Mounting a Claim
apiVersion: v1 kind: Pod metadata: creationTimestamp: null name: app-data spec: volumes: – name:congigpvc persistenVolumeClaim: claimName: app-data containers: – image: nginx name: app volumeMounts: – mountPath: “/srv/app-data ” name: configpvc

NEW QUESTION # 22
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 # 23
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 # 24
Create a deployment spec file that will:
* Launch 7 replicas of the nginx Image with the labelapp_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:
See the solution below.
Explanation
solution

NEW QUESTION # 25
Task Weight: 4%

Task
Schedule a Pod as follows:
* Name: kucc1
* App Containers: 2
* Container Name/Images:
o nginx
o consul

Answer:

Explanation:
Solution:


NEW QUESTION # 26
……

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