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Linux Foundation KCNA Exam Overview:

Certification Vendor:Linux Foundation
Exam Name:Kubernetes and Cloud Native Associate
Exam Number:KCNA
Exam Duration:90 minutes
Exam Format:Multiple Choice
Available Languages:Japanese, English
Exam Price:$250 USD
Related Certifications:CKS (Certified Kubernetes Security Specialist)
CKA (Certified Kubernetes Administrator)
CKAD (Certified Kubernetes Application Developer)
Certificate Validity Period:3 years
Real Exam Qty:60
Passing Score:75% (approximately 45 out of 60)
Sample Questions:Linux Foundation KCNA Sample Questions
Exam Way:Online, proctored exam
Pre Condition:None. No prerequisites required.
Official Syllabus URL:https://training.linuxfoundation.org/certification/kubernetes-cloud-native-associate

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Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Exam is a certification program designed to validate the skills of individuals who work with cloud-native technologies. Cloud-native technologies are a collection of software tools and practices that help organizations build and run scalable applications in modern, dynamic environments such as the cloud. KCNA Exam is designed to assess the knowledge and skills required to design, deploy, and manage cloud-native applications using Kubernetes and other cloud-native tools.

Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q15-Q20):

NEW QUESTION # 15
What is the name for the tool that manages communication between pods, injects a sidecar proxy container into each pod and directs network traffic through the proxy container?

Answer: E


NEW QUESTION # 16
Describe the different ways to manage persistent volumes in Kubernetes, including the concepts of static provisioning and dynamic provisioning. Provide examples for each approach.

Answer: B

Explanation:
In static provisioning, you manually create PersistentVolumes (PVs) before deploying your application This gives you more control over storage allocation, but it can be more complex for large deployments- In dynamic provisioning, you use a StorageClass to define storage characteristics, and the cluster automatically provisions PVs as needed- Dynamic provisioning simplifies storage management and allows for more scalable deployments. The YAML examples in option A demonstrate both approaches. The first example defines a static provisioned PV with a hostPath volume. The second example defines a dynamic provisioned StorageClass using the provisioner "kubernetes.io/gce- pd".


NEW QUESTION # 17
You have a Kubernetes cluster with a pod that uses a resource limit of 100m CPU. What happens if the pod requests more CPU resources than the limit?

Answer: B

Explanation:
The pod will be throttled and its performance will be impacted. The CPIJ limit acts as a hard ceiling, preventing the pod from consuming more resources than specified. Even if the pod requests more CPU, it will be constrained to the limit, leading to performance degradation. The pod will not be killed, restarted, or automatically scaled down. It will continue to run, but its performance will be affected due to the resource constraint.


NEW QUESTION # 18
What is the purpose of the 'kubelet* component in Kubernetes?

Answer: A

Explanation:
The "kubelet• component in Kubernetes is responsible for running and managing containers on each node. It is the agent that communicates with the master and ensures that Pods are running as intended. Option 'A' is incorrect because that is the role of the kube-proxy and the API server. Option 'B' is incorrect because scheduling is handled by the scheduler. Option 'D' is incorrect because that is the role of the API server. Option 'E' is incorrect because configuration and state are managed by the etcd.


NEW QUESTION # 19
What is FinOps?

Answer: B

Explanation:
https://www.servicenow.com/products/it-asset-management/what-is-finops.html


NEW QUESTION # 20
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