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[Hardware] Linux Foundation CNPA Reliable Study Guide - CNPA Pdf Torrent

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【Hardware】 Linux Foundation CNPA Reliable Study Guide - CNPA Pdf Torrent

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Linux Foundation Certified Cloud Native Platform Engineering Associate Sample Questions (Q29-Q34):NEW QUESTION # 29
Which CI/CD tool is specifically designed as a continuous delivery platform for Kubernetes that follows GitOps principles?
  • A. Argo CD
  • B. Jenkins
  • C. TravisCI
  • D. CircleCI
Answer: A
Explanation:
Argo CD is a GitOps-native continuous delivery tool specifically designed for Kubernetes. Option B is correct because Argo CD continuously monitors Git repositories for desired application state and reconciles Kubernetes clusters accordingly. It is declarative, Kubernetes-native, and aligned with GitOps principles, making it a key tool in platform engineering.
Option A (TravisCI) and Option C (CircleCI) are CI/CD systems but not Kubernetes-native or GitOps-driven.
Option D (Jenkins) is a widely used CI/CD tool but operates primarily in a push-based model unless extended with plugins, and is not purpose-built for GitOps.
Argo CD provides automated deployments, drift detection, rollback, and auditability-features central to GitOps workflows. It simplifies multi-cluster management, enforces compliance, and reduces manual intervention, making it a leading choice in Kubernetes-based platform engineering.
References:- CNCF GitOps Principles- Argo CD CNCF Project Documentation- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 30
What is the goal of automating processes in platform teams?
  • A. Increasing the number of tasks completed.
  • B. Focusing on manual processes.
  • C. Reducing time spent on repetitive tasks.
  • D. Ensuring high-quality coding standards.
Answer: C
Explanation:
Comprehensive and Detailed Explanation at least 150 to 200 words:
In platform engineering, automation's primary goal is to eliminate manual, repetitive toil by codifying repeatable workflows and guardrails so teams can focus on higher-value work. Authoritative Cloud Native Platform Engineering guidance emphasizes that platforms should provide consistent, reliable, and secure self- service capabilities-achieved by automating provisioning, configuration, policy enforcement, and delivery pipelines. This directly reduces cognitive load and handoffs, shortens lead time for changes, decreases error rates, and improves overall reliability. While automation often improves code quality indirectly (e.g., through automated testing, linting, and policy-as-code), the central, explicitly stated aim is to remove repetitive manual work and standardize operations, not to simply "do more tasks" or prioritize manual intervention.
Therefore, option A most accurately captures the intent. Options B and C misframe the objective: platform engineering seeks fewer manual steps and better outcomes, not just higher task counts. Option D is a beneficial consequence but not the core purpose. By systematizing common paths ("golden paths") and embedding security and compliance controls into automated workflows, platforms deliver predictable, compliant environments at scale while freeing engineers to focus on product value.
References:- CNCF Platforms Whitepaper (Platform Engineering)- CNCF Platform Engineering Maturity Model- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 31
A developer is tasked with securing a Kubernetes cluster and needs to implement Role-Based Access Control (RBAC) to manage user permissions. Which of the following statements about RBAC in Kubernetes is correct?
  • A. RBAC is only applicable to Pods and does not extend to other Kubernetes resources.
  • B. RBAC does not support namespace isolation and applies globally across the cluster.
  • C. RBAC allows users to have unrestricted roles and access to all resources in the cluster.
  • D. RBAC uses roles and role bindings to grant permissions to users for specific resources and actions.
Answer: D
Explanation:
Role-Based Access Control (RBAC) in Kubernetes is a cornerstone of cluster security, enabling fine-grained access control based on the principle of least privilege. Option D is correct because RBAC leverages Roles (or ClusterRoles) that define sets of permissions, and RoleBindings (or ClusterRoleBindings) that assign those roles to users, groups, or service accounts. This mechanism ensures that users have only the minimum required access to perform their tasks, enhancing both security and governance.
Option A is incorrect because RBAC fully supports namespace-scoped roles, allowing isolation of permissions at the namespace level in addition to cluster-wide roles. Option B is wrong because RBAC is specifically designed to restrict, not grant, unrestricted access. Option C is misleading because RBAC applies broadly across Kubernetes API resources, not just Pods-it includes ConfigMaps, Secrets, Deployments, Services, and more.
By applying RBAC correctly, platform teams can align with security best practices, ensuring that sensitive operations (e.g., managing secrets or modifying cluster configurations) are tightly controlled. RBAC is also central to compliance frameworks, as it provides auditability of who has access to what resources.
References:- CNCF Kubernetes Security Best Practices- Kubernetes RBAC Documentation (aligned with CNCF platform engineering security guidance)- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 32
What is the primary advantage of using a declarative approach to Infrastructure as Code (IaC) over an imperative approach?
  • A. Declarative IaC focuses on the "what" rather than the "how," simplifying the management of infrastructure.
  • B. Declarative IaC is less suitable for dynamic environments compared to imperative IaC.
  • C. Declarative IaC requires more coding effort compared to imperative IaC.
  • D. Declarative IaC allows for more granular control over resource provisioning.
Answer: A
Explanation:
Declarative Infrastructure as Code (IaC) is a key principle in cloud native environments because it enables platform teams to define the desired state of infrastructure rather than step-by-step procedures. Option A is correct since declarative IaC focuses on describing the "what" (e.g., the infrastructure resources needed) rather than the "how" to create them. Tools such as Terraform, Pulumi (in declarative mode), and Kubernetes manifests embody this model.
Option B is incorrect; declarative IaC is particularly well-suited for dynamic environments due to reconciliation loops. Option C is misleading-imperative methods typically provide more granular control, but declarative abstracts it for simplicity. Option D is false; declarative IaC usually reduces coding effort by relying on higher-level abstractions.
This model allows for consistent, reproducible environments, simplifies management, and integrates naturally with GitOps workflows. It reduces human error and ensures the platform continuously enforces the desired infrastructure state.
References:- CNCF GitOps Principles- Kubernetes Declarative Management Model- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 33
As a platform engineer, how do you automate application deployments across multiple Kubernetes clusters using GitOps, Helm, and Crossplane, ensuring a consistent application state?
  • A. Leverage Git for configuration storage, with manual application of Helm and Crossplane.
  • B. Integrate Helm and Crossplane into a GitOps-enabled CI/CD pipeline.
  • C. Use Helm and Crossplane, with manual GUI-based configuration updates.
  • D. Employ a GitOps controller to synchronize Git-stored Helm and Crossplane configurations.
Answer: D
Explanation:
The most effective way to achieve consistent, automated deployments across multiple Kubernetes clusters is to combine GitOps controllers (e.g., Argo CD, Flux) with declarative configurations managed by Helm and Crossplane. Option A is correct because the GitOps controller continuously reconciles the desired state stored in Git-Helm charts for applications and Crossplane manifests for infrastructure-ensuring consistency across clusters.
Option B and D rely on manual updates, which are error-prone and not scalable. Option C mischaracterizes GitOps by suggesting push-based pipelines rather than the core GitOps model of pull-based reconciliation.
This combination leverages Helm for application packaging, Crossplane for cloud infrastructure provisioning, and GitOps for declarative, version-controlled delivery. It ensures applications remain in sync with Git, providing auditability, automation, and resilience in multi-cluster environments.
References:- CNCF GitOps Principles- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 34
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