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[General] CNPA Test Duration - Latest CNPA Version

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【General】 CNPA Test Duration - Latest CNPA Version

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Linux Foundation CNPA Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 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
  • 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
  • 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 5
  • 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.

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Linux Foundation Certified Cloud Native Platform Engineering Associate Sample Questions (Q66-Q71):NEW QUESTION # 66
Which tool is commonly used to automate environment provisioning?
  • A. OpenTofu
  • B. Docker
  • C. Prometheus
  • D. Kubernetes
Answer: A
Explanation:
OpenTofu (the open-source fork of Terraform) is one of the most widely used tools for automating environment provisioning. Option D is correct because OpenTofu allows teams to define infrastructure as code, supporting multiple cloud providers and services. It enables declarative, reusable, and version- controlled provisioning workflows, ensuring consistency across environments.
Option A (Kubernetes) orchestrates containers and workloads but does not provision infrastructure outside its cluster scope. Option B (Prometheus) is an observability tool, not an IaC tool. Option C (Docker) manages containers but does not provision full environments or infrastructure.
By using tools like OpenTofu/Terraform, platform engineers ensure scalable, repeatable environment provisioning integrated into CI/CD or GitOps workflows. This aligns with platform engineering's goals of reducing toil and enabling self-service with compliance.
References:- CNCF Platforms Whitepaper- Infrastructure as Code Best Practices- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 67
In the context of Istio, what is the purpose of PeerAuthentication?
  • A. Securing service-to-service communication
  • B. Defining how traffic is routed between services
  • C. Monitoring and logging service communication
  • D. Managing network policies for ingress traffic
Answer: A
Explanation:
In Istio, PeerAuthentication is used to configure how workloads authenticate traffic coming from other services in the mesh. Option C is correct because PeerAuthentication primarily secures service-to-service communication using mutual TLS (mTLS), ensuring encryption in transit and verifying the identity of both communicating parties.
Option A (network policies for ingress traffic) relates to Kubernetes NetworkPolicy, not Istio PeerAuthentication. Option B (traffic routing) is handled by Istio's VirtualService and DestinationRule resources. Option D (monitoring/logging) is part of Istio's telemetry features, not PeerAuthentication.
PeerAuthentication policies define whether mTLS is disabled, permissive, or strict, giving platform teams fine-grained control over how services communicate securely. This aligns with zero-trust security models and ensures compliance with organizational policies without requiring application code changes.
References:- CNCF Service Mesh Whitepaper- Istio Security Documentation- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 68
Which approach is effective for scalable Kubernetes infrastructure provisioning?
  • A. Imperative scripts using Kubernetes API
  • B. Helm charts with the environment values.yaml
  • C. Static YAML with kubectl apply
  • D. Crossplane compositions defining custom CRDs
Answer: D
Explanation:
The most effective approach for scalable Kubernetes infrastructure provisioning is Crossplane compositions.
Option D is correct because compositions let platform teams define custom CRDs (Composite Resources) that abstract infrastructure details while embedding organizational policies and guardrails. Developers then consume these abstractions through simple Kubernetes-native APIs, enabling self-service at scale.
Option A (Helm with values.yaml) is useful for application deployment but not for scalable infrastructure provisioning across multiple clouds. Option B (imperative scripts) lacks scalability, repeatability, and governance. Option C (static YAML with kubectl apply) is manual and not suited for dynamic, multi-team environments.
Crossplane compositions allow platform teams to curate golden paths while giving developers autonomy. This reduces complexity, ensures compliance, and supports multi-cloud provisioning-all key aspects of platform engineering.
References:- CNCF Crossplane Project Documentation- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 69
As a platform engineer, a critical application has been deployed using Helm, but a recent update introduced a severe bug. To quickly restore the application to its previous stable version, which Helm command should be used?
  • A. helm upgrade --force <revision>
  • B. helm template <release_name>
  • C. helm rollback <release_name> <revision>
  • D. helm uninstall <release_name>
Answer: C
Explanation:
Helm provides native support for managing versioned releases, allowing easy rollback in case of issues.
Option A is correct because the helm rollback <release_name> <revision> command reverts the deployment to a previously known stable release without requiring a redeployment from scratch. This ensures fast recovery and minimizes downtime after a faulty upgrade.
Option B (helm upgrade --force) attempts to reapply an upgrade but does not restore the previous version.
Option C (helm template) only renders Kubernetes manifests from charts and does not affect running releases.
Option D (helm uninstall) removes the release entirely, which is not suitable for quick recovery.
Rollback functionality is essential in platform engineering for resilience and rapid mitigation of production issues. By using helm rollback, teams align with best practices for safe, controlled release management in Kubernetes environments.
References:- CNCF Helm Documentation- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 70
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. Abstractions curate cloud services with built-in guardrails for development teams.
  • C. Development teams can arbitrarily deploy cloud services via abstractions.
  • 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 # 71
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