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Certified Cloud Native Platform Engineering Associate (CNPA) Practice Exam

Certified Cloud Native Platform Engineering Associate (CNPA) Practice Exam


About Certified Cloud Native Platform Engineering Associate (CNPA) Practice Exam

The Certified Cloud Native Platform Engineering Associate (CNPA) is a Linux Foundation certification designed to validate foundational knowledge of cloud native platform engineering. It covers essential concepts such as Kubernetes, containers, infrastructure automation, observability, security, networking, and platform operations. The certification helps candidates understand how modern platforms are designed, deployed, and managed to support cloud native applications. It is suitable for aspiring platform engineers, DevOps professionals, cloud practitioners, and IT professionals building foundational cloud native skills. The CNPA provides a vendor-neutral credential to demonstrate knowledge of core platform engineering practices and technologies.


Course Outline

The Certified Cloud Native Platform Engineering Associate (CNPA) Exam covers the following topics - 

Domain 1 - Platform Engineering Core Fundamentals 36%

  • Declarative Resource Management
  • DevOps Practices in Platform Engineering
  • Application Environments and Infrastructure Concepts
  • Platform Architecture and Capabilities
  • Platform Engineering Goals, Objectives, and Approaches
  • Continuous Integration Fundamentals
  • Continuous Delivery and GitOps


Domain 2 - Platform Observability, Security, and Conformance 20%

  • Observability Fundamentals: Traces, Metrics, Logs, and Events
  • Secure Service Communication
  • Policy Engines for Platform Governance
  • Kubernetes Security Essentials
  • Security in CI/CD Pipelines


Domain 3 - Continuous Delivery & Platform Engineering 16%

  • Continuous Integration Pipelines Overview
  • Incident Response in Platform Engineering
  • CI/CD Relationship Fundamentals
  • GitOps Basics and Workflows
  • GitOps for Application Environments


Domain 4 - Platform APIs and Provisioning Infrastructure 12%

  • Kubernetes Reconciliation Loop
  • APIs for Self-Service Platforms (CRDs)
  • Infrastructure Provisioning with Kubernetes
  • Kubernetes Operator Pattern for Integration


Domain 5 - IDPs and Developer Experience 8%

  • Simplified Access to Platform Capabilities
  • API-Driven Service Catalogs
  • Developer Portals for Platform Adoption
  • AI/ML in Platform Automation


Domain 6 - Measuring your Platform 8%

  • Platform Efficiency and Team Productivity
  • DORA Metrics for Platform Initiatives

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