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Linux Foundation KCNA Exam Overview:

Certification Vendor:Linux Foundation
Exam Name:Kubernetes and Cloud Native Associate
Exam Number:KCNA
Passing Score:75% (approximately 45 out of 60)
Available Languages:Japanese, English
Real Exam Qty:60
Related Certifications:CKAD (Certified Kubernetes Application Developer)
CKS (Certified Kubernetes Security Specialist)
CKA (Certified Kubernetes Administrator)
Exam Price:$250 USD
Exam Duration:90 minutes
Certificate Validity Period:3 years
Exam Format:Multiple Choice
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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Upon passing the exam, candidates receive a digital badge and certificate that confirms their knowledge and skills in working with Kubernetes and other cloud-native technologies. The Linux Foundation KCNA Certification is recognized by industry leaders and can help individuals advance their careers in the fast-growing field of cloud-native technologies.

Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q219-Q224):

NEW QUESTION # 219
Consider the followin Pod Securit Polic definition:

Which of the following statements is TRUE about this Pod Security Policy?

Answer: D

Explanation:
This Pod Security Policy restricts pods to run as specific user IDs (1000 and 1001 ), allows them to mount configMaps and secrets, and grants access to specific capabilities ('SYS_ADMIN' and 'CHOWN'). It does not allow access to the host network, host processes, or host PID namespace. This policy is designed to enforce security restrictions and prevent potential vulnerabilities within the Kubernetes cluster.


NEW QUESTION # 220
Which tool is built on the GitOps toolkit?

Answer: B

Explanation:
https://fluxcd.io/#gitops-toolkit

Note: Argo CD is a GitOps tool and not using GitOps toolkit


NEW QUESTION # 221
What are the characteristics for building every cloud-native application?

Answer: C


NEW QUESTION # 222
In which framework do the developers no longer have to deal with capacity, deployments, scaling and fault tolerance, and OS?

Answer: C

Explanation:
Serverless is the model where developers most directly avoid managing server capacity, OS operations, and much of the deployment/scaling/fault-tolerance mechanics, which is why D is correct. In serverless computing (commonly Function-as-a-Service, FaaS, and managed serverless container platforms), the provider abstracts away the underlying servers. You typically deploy code (functions) or a container image, define triggers (HTTP events, queues, schedules), and the platform automatically provisions the required compute, scales it based on demand, and handles much of the availability and fault tolerance behind the scenes.
It's important to compare this to Kubernetes: Kubernetes does automate scheduling, self-healing, rolling updates, and scaling, but it still requires you (or your platform team) to design and operate cluster capacity, node pools, upgrades, runtime configuration, networking, and baseline reliability controls. Even in managed Kubernetes services, you still choose node sizes, scale policies, and operational configuration. Kubernetes reduces toil, but it does not eliminate infrastructure concerns in the same way serverless does.
Docker Swarm and Mesos are orchestration platforms that schedule workloads, but they also require managing the underlying capacity and OS-level aspects. They are not "no longer have to deal with capacity and OS" frameworks.
From a cloud native viewpoint, serverless is about consuming compute as an on-demand utility. Kubernetes can be a foundation for a serverless experience (for example, with event-driven autoscaling or serverless frameworks), but the pure framework that removes the most operational burden from developers is serverless.
________________________________________


NEW QUESTION # 223
What's the most adopted way of conflict resolution and decision-making for the open-source projects under the CNCF umbrella?

Answer: C

Explanation:
B (Discussion and Voting) is correct. CNCF-hosted open-source projects generally operate with open governance practices that emphasize transparency, community participation, and documented decision- making. While each project can have its own governance model (maintainers, technical steering committees, SIGs, TOC interactions, etc.), a very common and widely adopted approach to resolving disagreements and making decisions is to first pursue discussion (often on GitHub issues/PRs, mailing lists, or community meetings) and then use voting/consensus mechanisms when needed.
This approach is important because open-source communities are made up of diverse contributors across companies and geographies. "Project Founder Say" (D) is not a sustainable or typical CNCF governance norm for mature projects; CNCF explicitly encourages neutral, community-led governance rather than single-person control. "Financial Analysis" (A) is not a conflict resolution mechanism for technical decisions, and "Flipism Technique" (C) is not a real governance practice.
In Kubernetes specifically, community decisions are often made within structured groups (e.g., SIGs) using discussion and consensus-building, sometimes followed by formal votes where governance requires it. The goal is to ensure decisions are fair, recorded, and aligned with the project's mission and contributor expectations. This also reduces risk of vendor capture and builds trust: anyone can review the rationale in meeting notes, issues, or PR threads, and decisions can be revisited with new evidence.
Therefore, the most adopted conflict resolution and decision-making method across CNCF open-source projects is discussion and voting, making B the verified correct answer.
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NEW QUESTION # 224
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