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Linux Foundation CNPA Exam Syllabus Topics:

Topic	Details
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	Platform Engineering Core Fundamentals: This section of the exam measures the skills of Supplier Management Consultants and covers essential foundations such as declarative resource management, DevOps practices, application environments, platform architecture, and the core goals of platform engineering. It also includes continuous integration fundamentals, delivery approaches, and GitOps principles.
Topic 3	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 4	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.

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Linux Foundation Certified Cloud Native Platform Engineering Associate Sample Questions (Q84-Q89):

NEW QUESTION # 84
In a scenario where an Internal Developer Platform (IDP) is being used to enable developers to self-service provision products and capabilities such as Namespace-as-a-Service, which answer best describes who is responsible for resolving application-related incidents?

A. Platform teams are responsible for investigating and resolving all problems related to the platform, including application ones, before the app teams notice.
B. Platform teams delegate appropriate permissions to the application teams to allow them to self-manage and resolve any underlying infrastructure and application-related problems.
C. Platform teams are responsible for investigating and resolving underlying infrastructure problems whilst application teams are responsible for investigating and resolving application-related problems.
D. A separate team is created which includes people previously from the platform and application teams to solve all problems for the organization.

Answer: C

Explanation:
Platform engineering clearly separates responsibilities between platform teams and application teams. Option C is correct because platform teams manage the platform and infrastructure layer, ensuring stability, compliance, and availability, while application teams own their applications, including troubleshooting application-specific issues.
Option A (creating a single merged team) introduces inefficiency and removes specialization. Option B incorrectly suggests application teams should also solve infrastructure issues, which conflicts with platform- as-a-product principles. Option D places all responsibilities on platform teams, which creates bottlenecks and undermines application team ownership.
By splitting responsibilities, IDPs empower developers with self-service provisioning while maintaining clear boundaries. This ensures both agility and accountability: platform teams focus on enabling and securing the platform, while application teams take ownership of their code and services.
References:- CNCF Platforms Whitepaper- Team Topologies (Platform as a Product Model)- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 85
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 # 86
In assessing the effectiveness of platform engineering initiatives, which DORA metric most directly correlates to the time it takes for code from its initial commit to be deployed into production?

A. Lead Time for Changes
B. Change Failure Rate
C. Deployment Frequency
D. Mean Time to Recovery

Answer: A

Explanation:
Lead Time for Changes is a DORA (DevOps Research and Assessment) metric that measures the time from code commit to successful deployment in production. Option A is correct because it directly reflects how quickly the platform enables developers to turn ideas into delivered software. Shorter lead times indicate an efficient delivery pipeline, streamlined workflows, and effective automation.
Option B (Deployment Frequency) measures how often code is deployed, not how long it takes to reach production. Option C (Mean Time to Recovery) measures operational resilience after failures. Option D (Change Failure Rate) indicates stability by measuring the percentage of deployments causing incidents.
While all DORA metrics are valuable, only Lead Time for Changes measures end-to-end speed of delivery.
In platform engineering, improving lead time often involves automating CI/CD pipelines, implementing GitOps, and reducing manual approvals. It is a core measurement of developer experience and platform efficiency.
References:- CNCF Platforms Whitepaper- Accelerate: State of DevOps Report (DORA Metrics)- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 87
In a CI/CD pipeline, why is a build artifact (e.g., a Docker image) pushed to an OCI-compliant registry?

A. To store the image in a central registry so deployment environments can pull it for release.
B. To publish versioned artifacts that can be tracked and used to inform users of new releases.
C. To enable the registry service to execute automated tests on the uploaded container image.
D. To allow the container image to be analyzed and transformed back into source code.

Answer: A

Explanation:
In cloud native CI/CD workflows, build artifacts such as Docker/OCI images are pushed to a central container registry to ensure consistent, reproducible deployments. Option A is correct because registries serve as a single source of truth where immutable artifacts are stored, versioned, and distributed across environments.
Deployment systems like Kubernetes pull images from these registries, ensuring that the same tested artifact is deployed in staging and production.
Option B is incorrect because images cannot be directly transformed back into source code. Option C partially describes benefits (version tracking) but misses the primary function of deployment consistency. Option D is misleading-registries typically don't run automated tests; CI/CD pipelines do that before pushing the image.
By using OCI-compliant registries, organizations gain portability, interoperability, and compliance with supply chain security practices such as image signing and SBOM attestation. This ensures traceability, reliability, and secure distribution of artifacts across the platform.
References:- CNCF Supply Chain Security Whitepaper- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 88
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. Limit user access to only a few services.
D. Increase the number of required configurations to enhance security.

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 # 89
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