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Linux Foundation Certified Kubernetes Administrator (CKA) program is a globally recognized certification program for IT professionals who want to demonstrate their expertise in Kubernetes administration. Kubernetes is a popular open-source container orchestration platform that has rapidly become the preferred choice for cloud-native application development and deployment. With the increasing adoption of Kubernetes, the demand for certified Kubernetes administrators is also on the rise. The CKA program is designed to help IT professionals validate their skills and knowledge of Kubernetes and become certified Kubernetes administrators.

The CKA Program Certification Exam is highly regarded in the industry and is recognized as a valuable credential for Kubernetes administrators. Certified Kubernetes Administrator (CKA) Program Exam certification demonstrates that the candidate has the skills and knowledge required to design, deploy, and maintain Kubernetes clusters in production environments. CKA Exam is designed to be challenging, and candidates are expected to have a strong understanding of Kubernetes architecture, networking, storage, and security. Certified Kubernetes Administrator (CKA) Program Exam certification is valid for two years, after which candidates must recertify to maintain their credentials.

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q23-Q28):

NEW QUESTION # 23
You have a Deployment running on a Kubernetes cluster with limited resources. How can you adjust the Deployment to use resources more efficiently and prevent resource contention?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Resource Requests and Limits:
- Set 'requests' and 'limits' for CPU and memory for the containers in the Deployment.
- This helps in specifying the minimum resources required by the pods and the maximum resources that they can consume.

2. Optimize Container Images: - Use smaller and more efficient container images to reduce the resource footprint of the pods. 3. Use Resource Quotas: - Apply resource quotas at the namespace level to control the resource consumption of the pods within a namespace. 4. Consider Pod Disruption Budgets (PDB): - Implement PDBs to control the maximum number of pods that can be unavailable during a rolling update or pod deletion. - This ensures that the application remains available during resource-intensive events. 5. Utilize Node Affinity and Tolerations: - Configure node affinity and tolerations to schedule pods on specific nodes that have the required resources. 6. Monitor Resource Utilization: - Regularly monitor the resource utilization of the cluster and the pods. - Use tools like 'kubectl top pods', 'kubectl top nodes', and 'kubectl describe nodes' to gather resource utilization data. - Adjust resource requests and limits accordingly based on the monitoring data.

NEW QUESTION # 24
You have a pod that uses a PersistentVolumeClaim for its storage. The pod is deleted, but the data on the volume is still present. Explain why the data is not deleted and how you can change this behavior.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
When a pod is deleted, the data on the volume is not automatically deleted by default. This is because the persistentVolumeReclaimPolicy' for the PersistentVolume is set to 'Retain' by default. This policy ensures that the volume is not deleted when the pod is deleted, preserving the data.
To delete the data when the pod is deleted, you need to modify the persistentVolumeReclaimPolicy' to 'Delete'. Here's how:
1. Update the PersistentVolume:
- Update the 'persistentVolumeReclaimPolicy' to 'Delete' in the PersistentVolume definition.

2. Apply the Changes: - Apply the updated PersistentVolume definition using 'kubectl apply -f my-pv.yaml'. Now, when the pod using this PersistentVolume is deleted, the volume and the data will also be deleted automatically.

NEW QUESTION # 25
Perform the following tasks:
* Add an init container tohungry-bear(which has beendefined in spec file
/opt/KUCC00108/pod-spec-KUCC00108.yaml)
* The init container should createan empty file named/workdir/calm.txt
* If/workdir/calm.txtis notdetected, the pod should exit
* Once the spec file has beenupdatedwith the init containerdefinition, the pod should becreated

Answer:

Explanation:
See the solution below.
Explanation
solution

NEW QUESTION # 26
Create a file:
/opt/KUCC00302/kucc00302.txtthatlists all pods that implement servicebazin namespacedevelopment.
The format of the file should be onepod name per line.

Answer:

Explanation:
See the solution below.
Explanation
solution

NEW QUESTION # 27
Create a snapshot of the etcd instance running at https://127.0.0.1:2379, saving the snapshot to the file path
/srv/data/etcd-snapshot.db.
The following TLS certificates/key are supplied for connecting to the server with etcdctl:
* CA certificate: /opt/KUCM00302/ca.crt
* Client certificate: /opt/KUCM00302/etcd-client.crt
* Client key: Topt/KUCM00302/etcd-client.key

Answer:

Explanation:

NEW QUESTION # 28
......

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Ian Scott Ian Scott

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