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KCNA Valid Mock Test | KCNA Exam Revision Plan

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The Linux Foundation KCNA exam covers a wide range of topics including Kubernetes architecture, deployment, and troubleshooting, as well as cloud-native application design and development. Candidates will be required to demonstrate their knowledge of these topics through a series of multiple-choice questions and performance-based tasks.

Linux Foundation has been providing certification exams to individuals who want to demonstrate their expertise in open source technologies. One of their newest offerings is the KCNA (Kubernetes and Cloud Native Associate) Certification Exam. KCNA exam is designed for individuals who want to prove their knowledge and skills in cloud native computing and Kubernetes.

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Linux Foundation Realistic KCNA Valid Mock Test Pass Guaranteed Quiz

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

NEW QUESTION # 15
Explain the difference between a Kubernetes Deployment and a ReplicaSet. When would you use each of these resources?

A. Deployment is a high-level resource that manages the lifecycle of ReplicaSets, while ReplicaSet is a low-level resource that manages a set of Pods with the same template.
B. Deployment is a low-level resource that manages the lifecycle of ReplicaSets, while ReplicaSet is a high-level resource that manages a set of Pods with the same template.
C. ReplicaSet is a high-level resource that manages the lifecycle of Deployments, while Deployment is a low-level resource that manages a set of Pods with the same template.
D. Deployment and ReplicaSet are interchangeable, and both manage the lifecycle of Pods with the same template.
E. ReplicaSet is a low-level resource that manages the lifecycle of Deployments, while Deployment is a high-level resource that manages a set of Pods with the same template-

Answer: A

Explanation:
A Deployment is a high-level resource that manages the lifecycle of ReplicaSets. It defines the desired number of replicas, the pod template, and handles updates and rollbacks. A ReplicaSet is a low-level resource that manages a set of Pods with the same template. It ensures that the desired number of Pods are running based on the defined selector and ensures that pods are replaced when needed. You would use a Deployment for managing updates, rollbacks, and scaling of your applicatiom You would use a ReplicaSet if you only need to manage a set of Pods with the same template and don't require the features provided by a Deployment.

NEW QUESTION # 16
You are running a web application in a Kubernetes cluster, and you want to ensure that your application always has at least one healthy pod available for serving traffic. Which Kubernetes
concept best addresses this requirement?

A. Liveness Probes
B. Pod Disruption Budgets
C. Service Mesh
D. ReplicaSets
E. Readiness Probes

Answer: B

Explanation:
Pod Disruption Budgets (PDB) are a Kubernetes feature that helps maintain the availability of your application by limiting the number of pods that can be deleted at any given time. This ensures that at least a minimum number of healthy pods remain running, even during updates or maintenance.

NEW QUESTION # 17
Your Kubernetes cluster is running a batch processing workload that only needs to run during specific time windows. How can you effectively manage the cost associated with this workload?

A. Utilize spot instances or preemptible nodes for the batch processing workload, leveraging their discounted pricing.
B. Create a separate namespace for the batch processing workload and apply resource quotas to limit its resource consumption.
C. Manually scale the workload up and down during the required time window.
D. Configure a horizontal pod autoscaler (HPA) to scale the workload up during the time window and down afterward.
E. Use a CronJob to schedule the batch processing workload to run only during the required time window.

Answer: A,E

Explanation:
For batch processing workloads with defined time windows, scheduling and leveraging cost- effective resources are key. CronJobs can be used to schedule the workload to run only during the required time window, eliminating unnecessary resource consumption. Utilizing spot instances or preemptible nodes provides discounted pricing for workloads that can tolerate interruptions, further reducing costs. While HPA can scale workloads, it's not the most efficient approach for time-bound batch processing. Creating a separate namespace and applying resource quotas can limit resource usage, but doesn't directly address the intermittent nature of the workload. Manually scaling up and down is inefficient and prone to errors.

NEW QUESTION # 18
Which component of the kubernetes control-plane (master) are all requests to deploy and manage objects posted to?

A. Kubelet
B. Controller Manager
C. API Server
D. Kube-proxy
E. ETCD

Answer: C

Explanation:
https://kubernetes.io/docs/reference/command-line-tools-reference/kube-apiserver/

NEW QUESTION # 19
Which Kubernetes resource creates Kubernetes Jobs?

A. Task
B. CronJob
C. JobDeployment
D. JobFactory

Answer: B

Explanation:
https://kubernetes.io/docs/concepts/workloads/controllers/cron-jobs/

NEW QUESTION # 20
......

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