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[General] New CNPA Exam Topics | CNPA New Exam Braindumps

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【General】 New CNPA Exam Topics | CNPA New Exam Braindumps

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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
  • 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 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.
Topic 4
  • 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 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 (Q60-Q65):NEW QUESTION # 60
In a Continuous Integration (CI) pipeline, what is a key benefit of using automated builds?
  • A. Minimizes server costs.
  • B. Reduces code redundancy.
  • C. Eliminates coding errors.
  • D. Ensures consistent builds.
Answer: D
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 # 61
In a GitOps setup, which of the following correctly describes the interaction between components when using a pull-based approach?
  • A. The syncer continuously checks the git repository for changes and applies them to the target cluster.
  • B. The target cluster sends updates to the git repository whenever a change is made.
  • C. The syncer uses webhooks to notify the target cluster of changes in the git repository.
  • D. The git repository pushes configuration changes directly to the syncer without any checks.
Answer: A
Explanation:
GitOps uses a pull-based approach, where controllers inside the cluster continuously reconcile the desired state stored in Git with the actual cluster state. Option A is correct because GitOps sync agents (e.g., Argo CD, Flux) poll or watch Git repositories for changes and automatically apply updates to the cluster.
Option B reverses the model-clusters do not send updates to Git; Git is the source of truth. Option C is partially misleading: webhooks can trigger faster syncs but reconciliation is still pull-based. Option D misrepresents GitOps-Git never pushes directly to clusters.
This pull-based approach ensures greater security (clusters pull changes rather than exposing themselves to pushes), consistency (Git as source of truth), and continuous reconciliation (drift correction).
References:- CNCF GitOps Principles- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 62
What is the main benefit of using minimal base container images and SBOM attestation practices in CI/CD pipelines?
  • A. Reducing the size of container images and therefore storage costs.
  • B. Reducing the number of security vulnerabilities within container images.
  • C. Checking for duplicate libraries and that latest versions are being used.
  • D. Giving developers the maximum flexibility in what to include.
Answer: B
Explanation:
The use of minimal base container images and Software Bill of Materials (SBOM) attestation is a best practice for strengthening software supply chain security. Option B is correct because smaller base images contain fewer components, which inherently reduces the attack surface and the number of potential vulnerabilities. SBOMs, meanwhile, provide a detailed inventory of included libraries and dependencies, enabling vulnerability scanning, license compliance, and traceability.
Option A is only a partial benefit, not the primary goal. Option C (maximum flexibility) contradicts the principle of minimal images, which deliberately restrict included software. Option D (reducing storage costs) may be a side effect but is not the core benefit in a security-focused context.
By combining minimal images with SBOM practices, platform teams ensure stronger compliance with supply chain security frameworks, enable early detection of vulnerabilities in CI/CD pipelines, and support fast remediation. This is emphasized in CNCF security and platform engineering guidance as a way to align with zero-trust principles.
References:- CNCF Supply Chain Security Whitepaper- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 63
In a GitOps workflow using Crossplane, how is infrastructure provisioned across multiple clusters?
  • A. By using CI/CD pipelines to execute imperative scripts that create cloud infrastructure outside of Kubernetes in any cloud provider
  • B. By defining infrastructure resources declaratively in Git, where Crossplane controllers reconcile and provision them automatically in target environments.
  • C. By provisioning infrastructure manually in cloud provider consoles and documenting the steps in Git for future reference.
  • D. By manually applying Crossplane manifests to each cluster using kubectl to provision resources as needed for the infrastructure.
Answer: B
Explanation:
Crossplane integrates tightly with GitOps workflows by extending Kubernetes with infrastructure APIs.
Option B is correct because infrastructure resources (databases, networks, S3 buckets, etc.) are defined declaratively in Git repositories. Git becomes the single source of truth, while Crossplane controllers automatically reconcile the desired state into real infrastructure across supported cloud providers.
Option A reflects imperative scripting, which contradicts GitOps principles. Option C (manual provisioning) lacks automation, governance, and repeatability. Option D involves manual application with kubectl, which bypasses GitOps reconciliation loops.
With Crossplane and GitOps, teams achieve consistent, reproducible, and auditable infrastructure provisioning at scale. This enables full alignment with cloud native platform engineering principles of declarative management, self-service, and extensibility.
References:- CNCF Crossplane Documentation- CNCF GitOps Principles- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 64
What is the primary purpose of Kubernetes runtime security?
  • A. Protects workloads against threats during execution.
  • B. Scans container images before deployment.
  • C. Encrypts the sensitive data stored in etcd.
  • D. Manages the access control to the Kubernetes API.
Answer: A
Explanation:
The main purpose of Kubernetes runtime security is to protect workloads during execution. Option B is correct because runtime security focuses on monitoring active Pods, containers, and processes to detect and prevent malicious activity such as privilege escalation, anomalous network connections, or unauthorized file access.
Option A (etcd encryption) addresses data at rest, not runtime. Option C (image scanning) occurs pre- deployment, not during execution. Option D (API access control) is enforced through RBAC and IAM, not runtime security.
Runtime security solutions (e.g., Falco, Cilium, or Kyverno) continuously observe system calls, network traffic, and workload behaviors to enforce policies and detect threats in real time. This ensures compliance, strengthens defenses in zero-trust environments, and provides critical protection for cloud native workloads in production.
References:- CNCF Security TAG Guidance- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 65
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