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[General] Free CNPA Practice Exams, Valid Test CNPA Fee

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【General】 Free CNPA Practice Exams, Valid Test CNPA Fee

Posted at yesterday 20:23      View：20 | Replies：0        Print      Only Author   [Copy Link] 1#
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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
  • 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
  • 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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Linux Foundation Certified Cloud Native Platform Engineering Associate Sample Questions (Q77-Q82):NEW QUESTION # 77
Which key observability signal helps detect real-time performance bottlenecks in a Kubernetes cluster?
  • A. Traces
  • B. Logs
  • C. Events
  • D. Metrics
Answer: D
Explanation:
Metrics are the observability signal most effective at detecting real-time performance bottlenecks in Kubernetes. Option C is correct because metrics provide numerical, time-series data (e.g., CPU usage, memory consumption, request latency, pod restarts) that can be aggregated and monitored continuously. This makes them the best fit for identifying performance degradation and bottlenecks before they escalate into outages.
Option A (logs) capture detailed events but are better for debugging after issues occur. Option B (traces) provide request-level insights across distributed systems but focus on transaction flow rather than cluster-wide performance. Option D (events) record discrete system changes but are not designed for continuous performance monitoring.
Metrics integrate with tools like Prometheus and Grafana, enabling SLO/SLI monitoring and alerting. They allow proactive capacity planning, scaling decisions, and real-time issue detection-critical aspects of cloud native observability.
References:- CNCF Observability Whitepaper- Prometheus CNCF Documentation- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 78
Which component is essential for ensuring the repeatability and consistency of builds in a Continuous Integration pipeline?
  • A. Real-time notification systems that alert developers immediately when builds fail in any environment.
  • B. Immutable artifacts with unique identifiers that are generated once and promoted across environments.
  • C. Customizable dashboards that visualize pipeline metrics and performance for different stakeholders.
  • D. Dynamic resource allocation that automatically scales infrastructure based on pipeline workload.
Answer: B
Explanation:
To achieve repeatability and consistency, CI pipelines must produce immutable artifacts that are uniquely identifiable and reproducible. Option D is correct because immutable artifacts (such as container images tagged with digests or versioned binaries) ensure that the same build artifact can be promoted across environments (dev, staging, production) without modification. This eliminates discrepancies caused by rebuilding code in different environments.
Option A (notifications) improves feedback but does not guarantee consistency. Option B (dynamic scaling) optimizes resource usage but does not address build reproducibility. Option C (dashboards) aid in visibility but are not critical to ensuring consistent outputs.
Immutable artifacts are essential for compliance, traceability, and reliability. They ensure that what has been tested is exactly what gets deployed, which is central to continuous delivery and GitOps practices.
References:- CNCF Platforms Whitepaper- CNCF Supply Chain Security Whitepaper- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 79
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 underlying infrastructure problems whilst application teams are responsible for investigating and resolving application-related problems.
  • B. A separate team is created which includes people previously from the platform and application teams to solve all problems for the organization.
  • C. Platform teams are responsible for investigating and resolving all problems related to the platform, including application ones, before the app teams notice.
  • D. Platform teams delegate appropriate permissions to the application teams to allow them to self-manage and resolve any underlying infrastructure and application-related problems.
Answer: A
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 # 80
In a CI/CD pipeline, why is a build artifact (e.g., a Docker image) pushed to an OCI-compliant registry?
  • A. To enable the registry service to execute automated tests on the uploaded container image.
  • B. To publish versioned artifacts that can be tracked and used to inform users of new releases.
  • C. To allow the container image to be analyzed and transformed back into source code.
  • D. To store the image in a central registry so deployment environments can pull it for release.
Answer: D
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 # 81
Which of the following would be considered an advantage of using abstract APIs when offering cloud service provisioning and management as platform services?
  • A. Development teams can arbitrarily deploy cloud services via abstractions.
  • B. Abstractions curate cloud services with built-in guardrails for development teams.
  • C. Abstractions allow customization of cloud services and resources without guardrails.
  • D. Abstractions enforce explicit platform team approval before any cloud resource is deployed.
Answer: B
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 # 82
......
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