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Linux Foundation CNPA Exam Syllabus Topics:

Topic	Details
Topic 1	IDPs and Developer Experience: This section of the exam measures the skills of Supplier Management Consultants and focuses on improving developer experience. It covers simplified access to platform capabilities, API-driven service catalogs, developer portals for platform adoption, and the role of AI ML in platform automation.
Topic 2	Continuous Delivery & Platform Engineering: This section measures the skills of Supplier Management Consultants and focuses on continuous integration pipelines, the fundamentals of the CI CD relationship, and GitOps basics. It also includes knowledge of workflows, incident response in platform engineering, and applying GitOps for application environments.
Topic 3	Platform Observability, Security, and Conformance: This part of the exam evaluates Procurement Specialists on key aspects of observability and security. It includes working with traces, metrics, logs, and events while ensuring secure service communication. Policy engines, Kubernetes security essentials, and protection in CI CD pipelines are also assessed here.

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CNPA Test Study Guide - Free PDF Quiz 2025 Linux Foundation CNPA First-grade Valid Practice Questions

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Linux Foundation Certified Cloud Native Platform Engineering Associate Sample Questions (Q25-Q30):

NEW QUESTION # 25
A developer is struggling to access the necessary services on a cloud native platform due to complex Kubernetes configurations. What approach can best simplify their access to platform capabilities?

A. Implement a web portal that abstracts the Kubernetes complexities.
B. Provide detailed documentation on Kubernetes configurations.
C. Increase the number of required configurations to enhance security.
D. Limit user access to only a few services.

Answer: A

Explanation:
One of the primary objectives of internal developer platforms (IDPs) is to improve developer experience by reducing cognitive load. Complex Kubernetes configurations often overwhelm developers who simply want to consume services and deploy code without worrying about infrastructure intricacies.
Option B is correct because implementing a self-service web portal (or developer portal) abstracts away Kubernetes complexities, providing developers with easy access to platform services through standardized workflows, templates, and golden paths. This aligns with platform engineering principles: empowering developers with self-service capabilities while maintaining governance, security, and compliance.
Option A increases burden unnecessarily and negatively impacts productivity. Option C limits access to services, reducing flexibility and developer autonomy, which goes against the core goal of IDPs. Option D, while helpful for education, does not remove complexity-it only shifts the responsibility back to the developer. By leveraging portals, APIs, and automation, platform teams allow developers to focus on building business value instead of managing infrastructure details.
References:- CNCF Platforms Whitepaper- Team Topologies and Platform Engineering Practices- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 26
Which tool is commonly used to automate environment provisioning?

A. Docker
B. OpenTofu
C. Kubernetes
D. Prometheus

Answer: B

Explanation:
OpenTofu (the open-source fork of Terraform) is one of the most widely used tools for automating environment provisioning. Option D is correct because OpenTofu allows teams to define infrastructure as code, supporting multiple cloud providers and services. It enables declarative, reusable, and version- controlled provisioning workflows, ensuring consistency across environments.
Option A (Kubernetes) orchestrates containers and workloads but does not provision infrastructure outside its cluster scope. Option B (Prometheus) is an observability tool, not an IaC tool. Option C (Docker) manages containers but does not provision full environments or infrastructure.
By using tools like OpenTofu/Terraform, platform engineers ensure scalable, repeatable environment provisioning integrated into CI/CD or GitOps workflows. This aligns with platform engineering's goals of reducing toil and enabling self-service with compliance.
References:- CNCF Platforms Whitepaper- Infrastructure as Code Best Practices- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 27
In a cloud native environment, how do policy engines facilitate a unified approach for teams to consume platform services?

A. Enforces strict compliance policies with security standards.
B. Provides centralized reusable policies to ensure security and compliance.
C. Integrates with CI/CD pipelines to streamline service provisioning.
D. Enforces service-level agreements (SLAs) across all teams.

Answer: B

Explanation:
Policy engines (such as Open Policy Agent - OPA or Kyverno) play a critical role in enforcing governance, security, and compliance consistently across cloud native platforms. Option D is correct because policy engines provide centralized, reusable policies that can be applied across clusters, services, and environments. This ensures that developers consume platform services in a compliant and secure manner, without needing to manage these controls manually.
Option A is partially correct but too narrow, as policies extend beyond compliance to include operational, security, and cost-control measures. Option B is not the primary function of policy engines, though integration with CI/CD is possible. Option C is incorrect because SLAs are business agreements, not enforced by policy engines directly.
Policy engines enforce guardrails like image signing, RBAC rules, resource quotas, and network policies automatically, reducing cognitive load for developers while giving platform teams confidence in compliance.
This supports the platform engineering principle of combining self-service with governance.
References:- CNCF Platforms Whitepaper- CNCF Security TAG (OPA, Kyverno)- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 28
Development teams frequently raise support tickets for short-term access to staging clusters, creating a growing burden on the platform team. What's the best long-term solution to balance control, efficiency, and developer experience?

A. Provide pre-approved kubeconfigs to trusted developers so they can access staging clusters without platform intervention.
B. Set up scheduled access windows and batch all requests into specific time slots managed by the platform team.
C. Use GitOps to manage RBAC roles and allow teams to request access via pull requests with automatic approval for non-sensitive environments.
D. Dedicate one Cloud Native Platform Engineer to triage and fulfill all access requests to maintain fast turnaround times.

Answer: C

Explanation:
The most sustainable solution for managing developer access while balancing governance and self-service is to adopt GitOps-based RBAC management. Option A is correct because it leverages Git as the source of truth for access permissions, allowing developers to request access through pull requests. For non-sensitive environments such as staging, approvals can be automated, ensuring efficiency while still maintaining auditability. This approach aligns with platform engineering principles of self-service, automation, and compliance.
Option B places the burden entirely on one engineer, which does not scale. Option C introduces bottlenecks, delays, and reduces developer experience. Option D bypasses governance and auditability, potentially creating security risks.
GitOps for RBAC not only improves developer experience but also ensures all changes are versioned, reviewed, and auditable. This model supports compliance while reducing manual intervention from the platform team, thus enhancing efficiency.
References:- CNCF GitOps Principles- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 29
During a platform engineering meeting, a team discusses the importance of automating deployment processes to enhance collaboration and efficiency. What is the primary benefit of implementing automation in DevOps practices within platform engineering?

A. It eliminates the need for any manual intervention.
B. It creates dependencies on specific tools and platforms.
C. It accelerates deployments, enabling faster iterations and continuous delivery.
D. It reduces the need for communication between team members.

Answer: C

Explanation:
Automation in DevOps practices is central to platform engineering because it enables faster, reliable, and repeatable deployments. Option D is correct: automation accelerates deployments, reduces bottlenecks, and enables continuous delivery and rapid iterations. By automating build, test, and deployment pipelines, teams can deliver new features quickly while maintaining high quality and compliance.
Option A is incorrect because automation does not reduce the need for communication-it complements collaboration by removing friction. Option B is unrealistic: some manual oversight may remain (e.g., in production approvals for sensitive workloads). Option C is not a primary benefit-while tools may be involved, the focus is on outcomes, not tool dependency.
By embedding automation, teams reduce toil, enforce consistency, and free developers to focus on value creation rather than repetitive tasks. This results in shorter lead times, higher deployment frequency, and overall improved developer experience, which aligns with DORA metrics.
References:- CNCF Platforms Whitepaper- Continuous Delivery Foundation Guidance- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 30
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