CKA Test Simulates: Certified Kubernetes Administrator (CKA) Program Exam & CKA Study Guide
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The CKA certification is a globally recognized certification that is highly valued in the IT industry. It is designed to validate the skills and knowledge of IT professionals who can operate Kubernetes clusters. Certified Kubernetes Administrator (CKA) Program Exam certification is ideal for individuals who want to demonstrate their expertise in Kubernetes and advance their careers in the IT industry. The CKA program is an excellent opportunity for IT professionals to enhance their skills and knowledge and become certified Kubernetes administrators.
The CKA program is an excellent way for IT professionals to showcase their expertise in Kubernetes administration and advance their careers. Becoming a certified Kubernetes administrator can help professionals stand out in a crowded job market and demonstrate their commitment to ongoing learning and professional development. The CKA program is also a valuable resource for organizations that are looking to hire Kubernetes administrators. By hiring certified Kubernetes administrators, organizations can ensure that they have the skills and knowledge needed to effectively manage Kubernetes clusters and support their cloud-native applications.
Linux Foundation Certified Kubernetes Administrator (CKA) program certification exam is a highly recognized and sought-after certification in the field of container orchestration. Designed for IT professionals who have experience in deploying, administering, and maintaining Kubernetes clusters, CKA certification is a key indicator of one's proficiency in Kubernetes.
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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q71-Q76):
NEW QUESTION # 71
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:
See the solution below.
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: PersistentVolumeapiVersion: v1metadata: name: 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 " # path to which we are creating the volume Challenge Create a Persistent Volume named ReadWriteMany, storage classname shared, 2Gi of storage capacity and the host path
2. Save the file and create the persistent volume.
Image for post
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: PersistentVolumeapiVersion: v1metadata: name:
spec:
accessModes: - ReadWriteMany
requests: storage: 2Gi
storageClassName: shared
2. Save and create the pvc
njerry191@cloudshell:~ (extreme-clone-2654111)$ kubect1 create -f app-data.yaml persistentvolumeclaim/app-data created
3. View the pvc
Image for post
4. Let's see what has changed in the pv we had initially created.
Image for post
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: v1kind: Podmetadata: creationTimestamp: null name: app-dataspec: volumes: - name:congigpvc persistenVolumeClaim: claimName: app-data containers: - image: nginx name: app volumeMounts: - mountPath: "/srv/app-data " name: configpvc
NEW QUESTION # 72
Configure the kubelet systemd- managed service, on the node labelled with name=wk8s-node-1, to launch a pod containing a single container of Image httpd named webtool automatically. Any spec files required should be placed in the /etc/kubernetes/manifests directory on the node.
You can ssh to the appropriate node using:
[student@node-1] $ ssh wk8s-node-1
You can assume elevated privileges on the node with the following command:
[student@wk8s-node-1] $ | sudo -i
Answer:
Explanation:
NEW QUESTION # 73
Create the deployment redis with image=redis and expose it with "NodePort" service redis-service
Answer: A
NEW QUESTION # 74
Schedule a pod as follows:
Name: nginx-kusc00101
Image: nginx
Node selector: disk=ssd
Answer:
Explanation:
See the solution below.
Explanation
solution
F:WorkData Entry WorkData Entry00827CKA B.JPG
F:WorkData Entry WorkData Entry00827CKA C.JPG
F:WorkData Entry WorkData Entry00827CKA D.JPG
NEW QUESTION # 75
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:
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 # 76
......
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