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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 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.
Topic 3
- 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.
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Linux Foundation Certified Cloud Native Platform Engineering Associate Sample Questions (Q11-Q16):
NEW QUESTION # 11
Which metric measures a cloud native platform's impact on developer productivity and deployment speed?
- A. Monitor overall cloud infrastructure cost and resource consumption.
- B. Evaluate total security vulnerabilities detected during platform usage.
- C. Track average time from code commits to successful production deployment.
- D. Measure total cloud resource utilization across all development teams.
Answer: C
Explanation:
The Lead Time for Changes metric, one of the DORA (DevOps Research and Assessment) metrics, directly measures the impact of a platform on developer productivity and deployment speed. Option B is correct because it reflects the average time taken from when code is committed until it is successfully deployed into production. A shorter lead time indicates that the platform enables faster feedback loops, quicker delivery of features, and overall improved developer experience.
Option A (infrastructure cost) and Option D (resource utilization) are important for operations but do not measure productivity or speed. Option C (security vulnerabilities) relates to platform security posture, not productivity.
By tracking lead time, organizations can evaluate how effective their platform is in enabling self-service, automation, and streamlined CI/CD workflows. Improvements in this metric demonstrate that the platform is successfully reducing friction for developers and accelerating value delivery to end users.
References:- CNCF Platforms Whitepaper- State of DevOps Report (DORA Metrics)- Cloud Native Platform Engineering Study Guide
NEW QUESTION # 12
As a platform engineer, how do you automate application deployments across multiple Kubernetes clusters using GitOps, Helm, and Crossplane, ensuring a consistent application state?
- A. Integrate Helm and Crossplane into a GitOps-enabled CI/CD pipeline.
- B. Use Helm and Crossplane, with manual GUI-based configuration updates.
- C. Employ a GitOps controller to synchronize Git-stored Helm and Crossplane configurations.
- D. Leverage Git for configuration storage, with manual application of Helm and Crossplane.
Answer: C
Explanation:
The most effective way to achieve consistent, automated deployments across multiple Kubernetes clusters is to combine GitOps controllers (e.g., Argo CD, Flux) with declarative configurations managed by Helm and Crossplane. Option A is correct because the GitOps controller continuously reconciles the desired state stored in Git-Helm charts for applications and Crossplane manifests for infrastructure-ensuring consistency across clusters.
Option B and D rely on manual updates, which are error-prone and not scalable. Option C mischaracterizes GitOps by suggesting push-based pipelines rather than the core GitOps model of pull-based reconciliation.
This combination leverages Helm for application packaging, Crossplane for cloud infrastructure provisioning, and GitOps for declarative, version-controlled delivery. It ensures applications remain in sync with Git, providing auditability, automation, and resilience in multi-cluster environments.
References:- CNCF GitOps Principles- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide
NEW QUESTION # 13
A Platform Team is adopting the HEART framework to measure user experience of their developer portal.
Which of the following aspects does the HEART framework primarily focus on to help improve developer experience and platform performance?
- A. HEART focuses on Happiness, Efficiency, Availability, Reliability, and Throughput, enabling teams to assess both qualitative and quantitative aspects of platform performance.
- B. HEART tracks Happiness, Engagement, Adoption, Reliability, and Throughput, helping teams optimize infrastructure performance.
- C. HEART evaluates Hardware, Efficiency, Availability, Response times, and Throughput to measure and ensure platform reliability and performance.
- D. HEART focuses on Happiness, Engagement, Adoption, Retention, and Task success, enabling teams to track both qualitative and quantitative metrics for user experience.
Answer: D
Explanation:
The HEART framework was developed by Google to measure user experience using both qualitative and quantitative indicators. Option C is correct because HEART stands for Happiness, Engagement, Adoption, Retention, and Task success. In platform engineering, this framework is applied to measure developer experience with internal developer portals (IDPs) and other platform components.
Option A and D misrepresent the acronym by replacing its original user-experience focus with infrastructure- oriented metrics. Option B substitutes Reliability for Retention, which is incorrect.
By applying HEART, platform teams can measure satisfaction (Happiness), frequency of use (Engagement), onboarding success (Adoption), long-term value (Retention), and ability to complete tasks effectively (Task success). This helps teams identify pain points, iterate on golden paths, and improve the usability of their platform.
References:- CNCF Platforms Whitepaper- Google HEART Framework for UX Measurement- Cloud Native Platform Engineering Study Guide
NEW QUESTION # 14
Which of the following would be considered an advantage of using abstract APIs when offering cloud service provisioning and management as platform services?
- A. Abstractions allow customization of cloud services and resources without guardrails.
- B. Development teams can arbitrarily deploy cloud services via abstractions.
- C. Abstractions curate cloud services with built-in guardrails for development teams.
- D. Abstractions enforce explicit platform team approval before any cloud resource is deployed.
Answer: C
Explanation:
Abstract APIs are an essential component of platform engineering, providing a simplified interface for developers to consume infrastructure and cloud services without deep knowledge of provider-specific details.
Option B is correct because abstractions allow platform teams to curate services with built-in guardrails, ensuring compliance, security, and operational standards are enforced automatically. Developers get the benefit of self-service and flexibility while the platform team ensures governance.
Option A would slow down the process, defeating the purpose of abstraction. Option C removes guardrails, which risks security and compliance violations. Option D allows uncontrolled deployments, which can create chaos and undermine platform governance.
Abstract APIs strike the balance between developer experience and organizational control. They provide golden paths and opinionated defaults while maintaining the flexibility needed for developer productivity.
This approach ensures efficient service provisioning at scale with reduced cognitive load on developers.
References:- CNCF Platforms Whitepaper- CNCF Platform Engineering Maturity Model- Cloud Native Platform Engineering Study Guide
NEW QUESTION # 15
In a GitOps workflow, how should application environments be managed when promoting an application from staging to production?
- A. Create a new environment for production each time an application is updated.
- B. Merge changes and let a tool handle the deployment
- C. Manually update the production environment configuration files.
- D. Use a tool to package the application and deploy it directly to production.
Answer: B
Explanation:
In GitOps workflows, the source of truth for environments is stored in Git. Promotion from staging to production is managed by merging changes into the production branch or repository. Option A is correct because once changes are merged, the GitOps operator (e.g., Argo CD, Flux) automatically detects the updated desired state in Git and reconciles it with the production environment.
Option B (creating new environments each time) is inefficient and unnecessary. Option C (manual updates) violates GitOps principles of automation and auditability. Option D (direct deployments) reverts to a push- based CI/CD model rather than GitOps' pull-based reconciliation.
By relying on Git as the single source of truth, GitOps ensures version control, auditability, and rollback capabilities. This allows consistent, reproducible promotion between environments while reducing human error.
References:- CNCF GitOps Principles- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide
NEW QUESTION # 16
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