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[General] New Linux Foundation CNPA Dumps Ppt - New CNPA Test Pass4sure

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【General】 New Linux Foundation CNPA Dumps Ppt - New CNPA Test Pass4sure

Posted at yesterday 22:04      View：11 | Replies：1        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
  • 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.

Linux Foundation Certified Cloud Native Platform Engineering Associate Sample Questions (Q43-Q48):NEW QUESTION # 43
Which of the following best represents an effective golden path implementation in platform engineering?
  • A. A monitoring dashboard system that displays the operational health metrics and alerting thresholds for all platform services.
  • B. A templated workflow that guides developers through deploying a complete microservice with integrated testing and monitoring.
  • C. A central documentation repository listing available database services with their configuration parameters.
  • D. An API service catalog providing comprehensive details about available infrastructure components and their consumption patterns.
Answer: B
Explanation:
A golden path in platform engineering refers to a curated, opinionated workflow that makes the easiest way the right way for developers. Option C is correct because a templated workflow for deploying a microservice with integrated testing and monitoring embodies the golden path concept. It provides developers with a pre-validated, secure, and efficient approach that reduces cognitive load and accelerates delivery.
Option A (documentation) provides information but lacks automation and enforced best practices. Option B (monitoring dashboards) improves observability but does not guide developers in delivery workflows. Option D (API service catalog) is useful but more about service discovery than curated workflows.
Golden paths improve adoption by embedding guardrails, automation, and organizational standards directly into workflows, making compliance seamless. They ensure consistency while allowing developers to focus on innovation rather than platform complexity.
References:- CNCF Platforms Whitepaper- Team Topologies & Platform Engineering Practices- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 44
In a GitOps workflow, what is a secure and efficient method for managing secrets within a Git repository?
  • A. Encrypt secrets and store them directly in the repository.
  • B. Use environment variables to manage secrets outside the repository.
  • C. Use a secrets management tool and store references in the repository.
  • D. Store secrets in plain text within the repository.
Answer: C
Explanation:
The secure and efficient way to handle secrets in a GitOps workflow is to use a dedicated secrets management tool (e.g., HashiCorp Vault, Sealed Secrets, or External Secrets Operator) and store only references or encrypted placeholders in the Git repository. Option B is correct because Git should remain the source of truth for configuration, but sensitive values should be abstracted or encrypted to maintain security.
Option A (environment variables) can supplement secret management but lacks versioning and auditability when used alone. Option C (encrypting secrets in Git) can work with tools like Mozilla SOPS, but it still requires external key management, making Option B a more complete and secure approach. Option D (plain text secrets) is highly insecure and should never be used.
By integrating secrets managers into GitOps workflows, teams achieve both security and automation, ensuring secrets are delivered securely during reconciliation without exposing sensitive data in Git.
References:- CNCF GitOps Principles- CNCF Supply Chain Security Whitepaper- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 45
In a GitOps workflow, how should application environments be managed when promoting an application from staging to production?
  • A. Merge changes and let a tool handle the deployment
  • B. Manually update the production environment configuration files.
  • C. Use a tool to package the application and deploy it directly to production.
  • D. Create a new environment for production each time an application is updated.
Answer: A
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 # 46
During a Kubernetes deployment, a Cloud Native Platform Associate needs to ensure that the desired state of a custom resource is achieved. Which component of Kubernetes is primarily responsible for this task?
  • A. Kubernetes Scheduler
  • B. Kubernetes Controller
  • C. Kubernetes Etcd
  • D. Kubernetes API Server
Answer: B
Explanation:
The Kubernetes Controller is responsible for continuously reconciling the desired state with the actual state of resources, including custom resources. Option D is correct because controllers watch resources (via the API Server), detect deviations, and take corrective actions to match the desired state defined in manifests. For example, a Deployment controller ensures that the number of Pods matches the replica count, while custom controllers manage CRDs.
Option A (Scheduler) assigns Pods to nodes but does not reconcile state. Option B (Etcd) is the key-value store holding cluster state but does not enforce it. Option C (API Server) exposes the Kubernetes API and validates requests but does not enforce reconciliation.
Controllers embody Kubernetes' declarative management principle and are essential for operators, CRDs, and GitOps workflows that rely on automated state enforcement.
References:- CNCF Kubernetes Documentation- CNCF GitOps Principles- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 47
As a Cloud Native Platform Associate, you are tasked with improving software delivery efficiency using DORA metrics. Which of the following metrics best indicates the effectiveness of your platform initiatives?
  • A. Change Failure Rate
  • B. Mean Time to Recover (MTTR)
  • C. Service Level Agreements (SLAs)
  • D. Lead Time for Changes
Answer: D
Explanation:
Lead Time for Changes is the DORA metric that best measures the efficiency and impact of platform initiatives. Option A is correct because it tracks the time from code commit to successful production deployment, directly reflecting how effectively a platform enables developers to deliver software.
Option B (MTTR) measures resilience and recovery speed, not efficiency. Option C (Change Failure Rate) measures deployment stability, while Option D (SLAs) are contractual agreements, not engineering performance metrics.
By reducing lead time, platform engineering demonstrates its ability to provide self-service, automation, and streamlined CI/CD workflows. This makes Lead Time for Changes a critical measurement of platform efficiency and developer experience improvements.
References:- CNCF Platforms Whitepaper- Accelerate (DORA Report)- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 48
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Posted at 5 hour before        Only Author  2#
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