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Title: 100% Pass Quiz Marvelous CNPA Online Certified Cloud Native Platform Engineering [Print This Page]
Author: maxking199    Time: yesterday 21:13
Title: 100% Pass Quiz Marvelous CNPA Online Certified Cloud Native Platform Engineering
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Linux Foundation CNPA Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 (Q20-Q25):NEW QUESTION # 20
Which of the following would be considered an advantage of using abstract APIs when offering cloud service provisioning and management as platform services?
Answer: A
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 # 21
Which of the following best describes the primary function of an incident management system during a platform outage?
Answer: D
Explanation:
An incident management system's primary function is to coordinate response during outages, ensuring that alerts are centralized, on-call personnel are notified, communication is managed, and visibility is maintained.
Option B is correct because it emphasizes the core responsibilities of incident management systems like PagerDuty, Opsgenie, or ServiceNow. These systems streamline response efforts, reducing mean time to recovery (MTTR).
Option A (incident documentation) is valuable but usually a secondary outcome of incident management.
Option C (root cause analysis) is part of post-incident reviews, not the primary function during active response. Option D (automated remediation) may be supported by runbooks but is not the core role of incident management systems.
By centralizing and standardizing incident response, these systems enhance collaboration, reduce confusion, and provide stakeholders with up-to-date information on incident status, which is critical for maintaining trust and operational resilience.
References:- CNCF Platforms Whitepaper- SRE Incident Management Practices- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 22
In a Continuous Integration (CI) pipeline, what is a key benefit of using automated builds?
Answer: C
Explanation:
The key benefit of automated builds in a CI pipeline is ensuring consistent and reproducible builds. Option C is correct because automation eliminates the variability introduced by manual processes, guaranteeing that each build follows the same steps, uses the same dependencies, and produces artifacts that are predictable and testable.
Option A (minimizing server costs) may be a side effect but is not the primary advantage. Option B (eliminates coding errors) is inaccurate-automated builds do not prevent developers from writing faulty code; instead, they surface errors earlier. Option D (reduces code redundancy) relates more to code design than CI pipelines.
Automated builds are fundamental to DevOps and platform engineering because they establish reliability in the software supply chain, integrate seamlessly with automated testing, and enable continuous delivery. This practice ensures that code changes are validated quickly, improving developer productivity and reducing integration risks.
References:- CNCF Platforms Whitepaper- Continuous Delivery Foundation Best Practices- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 23
If you update a Deployment's replica count from 3 to 5, how does the reconciliation loop respond?
Answer: A
Explanation:
The Kubernetes reconciliation loop ensures that the actual state of a resource matches the desired state defined in its manifest. If the replica count of a Deployment is changed from 3 to 5, option B is correct:
Kubernetes will automatically create two new Pods to satisfy the new desired replica count.
Option A is incorrect because Deployments are not deleted; they are updated in place. Option C contradicts Kubernetes' declarative model-no manual intervention is required. Option D is wrong because Kubernetes does not restart existing Pods unless necessary; it simply adds additional Pods.
This reconciliation process is core to Kubernetes' declarative infrastructure approach, where desired states are continuously monitored and enforced. It reduces human toil and ensures consistency, making it fundamental for platform engineering practices like GitOps.
References:- CNCF Kubernetes Documentation- CNCF GitOps Principles- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 24
Why is centralized configuration management important in a multi-cluster GitOps setup?
Answer: B
Explanation:
In a GitOps-driven multi-cluster environment, centralized configuration management ensures that platform teams can maintain consistency, governance, and security across multiple clusters, all while leveraging Git as the single source of truth. Option B is correct because centralization allows teams to enforce policies, apply configurations, and audit changes across environments in a traceable and reproducible way. This supports compliance, as every change is version-controlled, peer-reviewed, and automatically reconciled by tools like Argo CD or Flux.
Option A is misleading-centralized management does not mean clusters must have identical configurations; it enables consistent patterns while still allowing environment-specific overlays or customizations (e.g., dev vs. prod). Option C is incorrect because GitOps tools remain essential for continuous reconciliation between desired and actual state. Option D is also incorrect because centralized management does not remove flexibility-it supports parameterization and customization per cluster.
By combining centralization with declarative configuration and GitOps automation, organizations gain operational efficiency, faster recovery from drift, and improved auditability in multi-cluster scenarios.
References:- CNCF GitOps Principles for Platforms- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 25
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