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[General] Free PDF 2026 CNPA: Certified Cloud Native Platform Engineering Associate–High-q

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【General】 Free PDF 2026 CNPA: Certified Cloud Native Platform Engineering Associate–High-q

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Linux Foundation CNPA Exam Syllabus Topics:
TopicDetails
Topic 1
  • Platform APIs and Provisioning Infrastructure: This part of the exam evaluates Procurement Specialists on the use of Kubernetes reconciliation loops, APIs for self-service platforms, and infrastructure provisioning with Kubernetes. It also assesses knowledge of the Kubernetes operator pattern for integration and platform scalability.
Topic 2
  • Measuring your Platform: This part of the exam assesses Procurement Specialists on how to measure platform efficiency and team productivity. It includes knowledge of applying DORA metrics for platform initiatives and monitoring outcomes to align with organizational goals.
Topic 3
  • 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 4
  • 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.

Linux Foundation Certified Cloud Native Platform Engineering Associate Sample Questions (Q58-Q63):NEW QUESTION # 58
What is the most effective approach to architecting a platform for extensibility in cloud native environments?
  • A. Designing a platform with centralized configuration management that can quickly implement organization-wide changes through a single control plane operated by platform specialists.
  • B. Creating a platform with a flexible governance model that requires all capability changes to be reviewed by specialized teams before being approved, ensuring consistent implementation across all platform areas.
  • C. Building a monolithic platform with comprehensive documentation that provides complete instructions for users to modify internal components when new capabilities need to be added or removed.
  • D. Implementing a modular architecture with well-defined APIs and interfaces that allows platform capabilities to be independently added, updated, or removed without disrupting the entire system.
Answer: D
Explanation:
Extensibility in cloud native platform engineering depends on modular design with well-defined APIs and interfaces. Option A is correct because modular, API-driven architecture allows new capabilities (e.g., observability, self-service provisioning, policy engines) to be added, updated, or replaced independently, without disrupting the entire system. This enables innovation, adaptability, and continuous improvement.
Option B emphasizes governance, but relying solely on specialist approvals slows agility and reduces scalability. Option C (monolithic architecture) restricts flexibility and increases cognitive load for developers.
Option D (centralized configuration) provides consistency but risks bottlenecks and does not inherently enable extensibility.
Modularity and APIs are fundamental to platform engineering because they support composability, golden paths, and integration of open-source/cloud-native tools. This ensures that platforms evolve continuously while preserving developer experience and governance.
References:- CNCF Platforms Whitepaper- CNCF Platform Engineering Maturity Model- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 59
In the context of OpenTelemetry, which of the following is considered one of the supported signals of observability?
  • A. Networking
  • B. Databases
  • C. Traces
  • D. User Interface
Answer: C
Explanation:
OpenTelemetry is a CNCF project providing standardized APIs and SDKs for collecting observability data.
Among its supported telemetry signals are metrics, logs, and traces. Option C is correct because traces are a core OpenTelemetry signal type that captures the journey of requests across distributed systems, making them vital for detecting latency, dependencies, and bottlenecks.
Option A (user interface), Option B (networking), and Option D (databases) represent system components or domains, not observability signals. While OpenTelemetry can instrument applications in these areas, it expresses data through its standard telemetry signals.
By supporting consistent collection of logs, metrics, and traces, OpenTelemetry enables observability pipelines to integrate seamlessly with different backends while avoiding vendor lock-in. Traces specifically provide visibility into distributed microservices, which is critical in cloud native environments.
References:- CNCF Observability Whitepaper- OpenTelemetry CNCF Project Documentation- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 60
In the context of Agile methodology, which principle aligns best with DevOps practices in platform engineering?
  • A. Customer involvement should be limited during the development process to avoid disruptions.
  • B. Development and operations teams should remain separate to maintain clear responsibilities.
  • C. Teams should strictly adhere to initial project plans without making adjustments during development.
  • D. Teams should continuously gather feedback and iterate on their work to improve outcomes.
Answer: D
Explanation:
Agile and DevOps share the principle of continuous improvement through rapid feedback and iteration.
Option B is correct because gathering feedback continuously and iterating aligns directly with DevOps practices such as CI/CD, observability-driven development, and platform engineering's focus on developer experience. This ensures platforms and applications evolve quickly in response to real-world conditions.
Option A contradicts Agile, which emphasizes active customer collaboration. Option C reflects rigid waterfall methodologies, not Agile or DevOps. Option D enforces silos, which is the opposite of DevOps principles of cross-functional collaboration.
By embracing continuous feedback loops, both Agile and platform engineering accelerate delivery, improve resilience, and ensure that platforms deliver real value to developers and end users. This cultural alignment ensures both speed and quality in cloud native environments.
References:- Agile Manifesto Principles- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 61
A development team is struggling to find and connect to various services within a cloud platform. What is the primary benefit of implementing an API-driven service catalog for this team?
  • A. It requires the development team to manage provisioning details themselves.
  • B. It increases the time taken to provision services.
  • C. It enables easier service discovery through a consistent interface.
  • D. It allows the team to bypass security protocols.
Answer: C
Explanation:
An API-driven service catalog provides a centralized and standardized interface where developers can discover and provision platform services. Option A is correct because it simplifies service discovery, allowing teams to connect to databases, messaging systems, and other infrastructure without needing in-depth platform knowledge. This improves productivity and developer experience by reducing cognitive load and ensuring consistent, governed access.
Option B is the opposite of the benefit-catalogs accelerate provisioning. Option C is incorrect because catalogs do not bypass security; they enforce guardrails and compliance. Option D is also incorrect because service catalogs abstract away provisioning details rather than forcing developers to manage them.
By providing golden paths and API-driven self-service, service catalogs ensure developers focus on building applications while platform teams maintain consistency and compliance.
References:- CNCF Platforms Whitepaper- CNCF Platform Engineering Maturity Model- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 62
To simplify service consumption for development teams on a Kubernetes platform, which approach combines service discovery with an abstraction of underlying infrastructure details?
  • A. Direct Kubernetes API access with detailed documentation.
  • B. Service catalog with abstracted APIs and automated service registration.
  • C. Manual service dependencies configuration within application code.
  • D. Shared service connection strings and network configurations document.
Answer: B
Explanation:
Simplifying developer access to platform services is a central goal of internal developer platforms (IDPs).
Option D is correct because a service catalog with abstracted APIs and automated registration provides a unified interface for developers to consume services without dealing with low-level infrastructure details. This approach combines service discovery with abstraction, offering golden paths and self-service capabilities.
Option A burdens developers with hardcoded dependencies, reducing flexibility and portability. Option B relies on manual documentation, which is error-prone and not dynamic. Option C increases cognitive load by requiring developers to interact directly with Kubernetes APIs, which goes against platform engineering's goal of reducing complexity.
A service catalog enables developers to provision databases, messaging queues, or APIs with minimal input, while the platform automates backend provisioning and wiring. It also improves consistency, compliance, and observability by embedding platform-wide policies into the service provisioning workflows. This results in a seamless developer experience that accelerates delivery while maintaining governance.
References:- CNCF Platforms Whitepaper- CNCF Platform Engineering Maturity Model- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 63
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