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KCNA Valid Exam Format | KCNA Reliable Test Labs
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2026 Latest TestPassed KCNA PDF Dumps and KCNA Exam Engine Free Share: https://drive.google.com/open?id=1gZrNZCS9Qf2luc1KoillSqSPXMGx8VgC
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Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Exam is a certification program designed for professionals who want to validate their knowledge and skills in the field of cloud computing and containerization. KCNA Exam is aimed at individuals who want to demonstrate their proficiency in Kubernetes, a popular container orchestration system, and other cloud-native technologies.
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The KCNA Certification is highly regarded in the IT industry and is recognized by many organizations as a benchmark for cloud-native expertise. Kubernetes and Cloud Native Associate certification is ideal for IT professionals who want to enhance their career prospects and demonstrate their knowledge and skills in the field of cloud computing and containerization. Kubernetes and Cloud Native Associate certification is also suitable for organizations that want to validate the skills of their employees in Kubernetes and other cloud-native technologies.
Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Certification Exam is a highly sought-after certification for individuals who wish to establish their expertise in cloud-native computing technologies. Kubernetes is an open-source platform that manages containerized applications, while cloud-native computing is an approach to building and running applications that takes full advantage of cloud computing models. Kubernetes and Cloud Native Associate certification exam is designed to validate the skills and knowledge of professionals who are seeking a career in cloud-native computing.
Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q80-Q85):NEW QUESTION # 80
Which of the following are components of the Kubernetes runtime environment?
- A. kubectl
- B. CRI-O
- C. Docker
- D. Containerd
- E. Kubelet
Answer: B,C,D,E
Explanation:
The Kubernetes runtime environment consists of several components that work together to manage containers. These include: Kubelet: This is the agent that runs on each node and is responsible for managing pods and ensuring that containers within pods are running as specified in their YAML files. Containerd: This is a container runtime that provides a low-level interface for running containers. It is often used by Kubernetes as a Container Runtime Interface (CRI) implementation. CRI-O: Similar to containerd, this is another popular container runtime that also implements the Container Runtime Interface (CRI) for Kubernetes. Docker: Docker is a popular container runtime that can be used with Kubernetes. However, it's not the only option and is often replaced by containerd or CRI-O for better Kubernetes integration. kubectl is a command-line tool for interacting with Kubernetes. It is not part of the runtime environment but is used to manage and interact with the cluster.
NEW QUESTION # 81
You are running a resource-intensive application in Kubernetes. You want to reduce costs without impacting performance. Which of the following approaches would be most effective?
- A. Migrate the application to a different cloud provider with lower pricing.
- B. Implement vertical pod autoscaling to adjust the resource allocation based on actual usage.
- C. Decrease the number of replicas for the application's deployment.
- D. Optimize the application code to reduce resource consumption.
- E. Reduce the resource requests and limits for the application's pods.
Answer: B,D
Explanation:
For resource-intensive applications, the most effective cost reduction strategies focus on optimizing resource usage and application efficiency. Vertical pod autoscaling (VPA) dynamically adjusts resource allocation based on actual usage, ensuring pods have sufficient resources without overprovisioning. Optimizing the application code itself to reduce resource consumption is crucial, as it can significantly impact overall cost. While decreasing replicas or reducing requests/limits might seem tempting, they can negatively impact performance. Migrating to a different cloud provider might offer cost advantages, but it's a complex and potentially disruptive process.
NEW QUESTION # 82
Imagine there is a requirement to run a database backup every day. Which Kubernetes resource could be used to achieve that?
- A. CronJob
- B. Task
- C. Job
- D. kube-scheduler
Answer: A
Explanation:
To run a workload on a repeating schedule (like "every day"), Kubernetes provides CronJob, making B correct. A CronJob creates Jobs according to a cron-formatted schedule, and then each Job creates one or more Pods that run to completion. This is the Kubernetes-native replacement for traditional cron scheduling, but implemented as a declarative resource managed by controllers in the cluster.
For a daily database backup, you'd define a CronJob with a schedule (e.g., "0 2 * * *" for 2:00 AM daily), and specify the Pod template that performs the backup (invokes backup scripts/tools, writes output to durable storage, uploads to object storage, etc.). Kubernetes will then create a Job at each scheduled time. CronJobs also support operational controls like concurrencyPolicy (Allow/Forbid/Replace) to decide what happens if a previous backup is still running, startingDeadlineSeconds to handle missed schedules, and history limits to retain recent successful/failed Job records for debugging.
Option D (Job) is close but not sufficient for "every day." A Job runs a workload until completion once; you would need an external scheduler to create a Job every day. Option A (kube-scheduler) is a control plane component responsible for placing Pods onto nodes and does not schedule recurring tasks. Option C ("Task") is not a standard Kubernetes workload resource.
This question is fundamentally about mapping a recurring operational requirement (backup cadence) to Kubernetes primitives. The correct design is: CronJob triggers Job creation on a schedule; Job runs Pods to completion. Therefore, the correct answer is B.
NEW QUESTION # 83
What is the purpose of the "securityContext" field in a pod specification? Choose all that apply.
- A. To define the user ID and group ID for the containers within the pod.
- B. To control access to the Kubernetes API server.
- C. To define the security context of the pods, such as SELinux and AppArmor.
- D. To configure the resource limits for the containers within the pod.
- E. To specify the network namespace that the pod should be created in.
Answer: A,C
Explanation:
The "securityContext" field in a pod specification is used to define the security context of the containers within the pod. This includes settings related to user ID and group ID, SELinux and AppArmor profiles, and other security-related options. It does not control access to the Kubernetes API server, configure resource limits, or specify the network namespace.
NEW QUESTION # 84
Which tool is built on the GitOps toolkit?
- A. Jenkins
- B. ArgoCD
- C. GitHub Workflow & Actions
- D. Flux
- E. Jenkins-X
- F. Travis CI
Answer: D
Explanation:
https://fluxcd.io/#gitops-toolkit

Note: Argo CD is a GitOps tool and not using GitOps toolkit
NEW QUESTION # 85
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