Linux Foundation CNPA Valid Torrent & CNPA Test Practice

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Linux Foundation Certified Cloud Native Platform Engineering Associate Sample Questions (Q32-Q37):

NEW QUESTION # 32
As a Cloud Native Platform Associate, you need to implement an observability strategy for your Kubernetes clusters. Which of the following tools is most commonly used for collecting and monitoring metrics in cloud native environments?

A. OpenTelemetry
B. Prometheus
C. Grafana
D. ELK Stack

Answer: B

Explanation:
Prometheus is the de facto standard for collecting and monitoring metrics in Kubernetes and other cloud native environments. Option D is correct because Prometheus is a CNCF graduated project designed for multi- dimensional data collection, time-series storage, and powerful querying using PromQL. It integrates seamlessly with Kubernetes, automatically discovering targets such as Pods and Services through service discovery.
Option A (Grafana) is widely used for visualization but relies on Prometheus or other data sources to collect metrics. Option B (ELK Stack) is better suited for log aggregation rather than real-time metrics. Option C (OpenTelemetry) provides standardized instrumentation but is focused on generating and exporting metrics, logs, and traces rather than storage, querying, and alerting.
Prometheus plays a central role in platform observability strategies, often paired with Alertmanager for notifications and Grafana for dashboards. Together, they enable proactive monitoring, SLO/SLI measurement, and incident detection, making Prometheus indispensable in cloud native platform engineering.
References:- CNCF Observability Whitepaper- Prometheus CNCF Project Documentation- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 33
To simplify service consumption for development teams on a Kubernetes platform, which approach combines service discovery with an abstraction of underlying infrastructure details?

A. Shared service connection strings and network configurations document.
B. Manual service dependencies configuration within application code.
C. Service catalog with abstracted APIs and automated service registration.
D. Direct Kubernetes API access with detailed documentation.

Answer: C

Explanation:
Simplifying developer access to platform services is a central goal of internal developer platforms (IDPs).
Option D is correct because a service catalog with abstracted APIs and automated registration provides a unified interface for developers to consume services without dealing with low-level infrastructure details. This approach combines service discovery with abstraction, offering golden paths and self-service capabilities.
Option A burdens developers with hardcoded dependencies, reducing flexibility and portability. Option B relies on manual documentation, which is error-prone and not dynamic. Option C increases cognitive load by requiring developers to interact directly with Kubernetes APIs, which goes against platform engineering's goal of reducing complexity.
A service catalog enables developers to provision databases, messaging queues, or APIs with minimal input, while the platform automates backend provisioning and wiring. It also improves consistency, compliance, and observability by embedding platform-wide policies into the service provisioning workflows. This results in a seamless developer experience that accelerates delivery while maintaining governance.
References:- CNCF Platforms Whitepaper- CNCF Platform Engineering Maturity Model- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 34
What is the primary purpose of Kubernetes runtime security?

A. Encrypts the sensitive data stored in etcd.
B. Manages the access control to the Kubernetes API.
C. Scans container images before deployment.
D. Protects workloads against threats during execution.

Answer: D

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 # 35
Which metric measures a cloud native platform's impact on developer productivity and deployment speed?

A. Track average time from code commits to successful production deployment.
B. Evaluate total security vulnerabilities detected during platform usage.
C. Monitor overall cloud infrastructure cost and resource consumption.
D. Measure total cloud resource utilization across all development teams.

Answer: A

Explanation:
The Lead Time for Changes metric, one of the DORA (DevOps Research and Assessment) metrics, directly measures the impact of a platform on developer productivity and deployment speed. Option B is correct because it reflects the average time taken from when code is committed until it is successfully deployed into production. A shorter lead time indicates that the platform enables faster feedback loops, quicker delivery of features, and overall improved developer experience.
Option A (infrastructure cost) and Option D (resource utilization) are important for operations but do not measure productivity or speed. Option C (security vulnerabilities) relates to platform security posture, not productivity.
By tracking lead time, organizations can evaluate how effective their platform is in enabling self-service, automation, and streamlined CI/CD workflows. Improvements in this metric demonstrate that the platform is successfully reducing friction for developers and accelerating value delivery to end users.
References:- CNCF Platforms Whitepaper- State of DevOps Report (DORA Metrics)- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 36
A platform engineering team is building an Internal Developer Platform (IDP). Which of the following enables application teams to manage infrastructure resources independently, without requiring direct platform team support?

A. Manual infrastructure deployment services.
B. Centralized logging and monitoring interfaces.
C. A comprehensive platform knowledge center.
D. Self-service resource provisioning APIs.

Answer: D

Explanation:
The defining capability of an IDP is enabling self-service so developers can independently access infrastructure and platform resources. Option D is correct because self-service resource provisioning APIs allow developers to provision resources such as namespaces, databases, or environments without relying on manual intervention from the platform team. These APIs embed governance, compliance, and organizational guardrails while giving autonomy to development teams.
Option A (manual deployment services) defeats the purpose of self-service. Option B (knowledge centers) improve documentation but do not provide automation. Option C (logging/monitoring interfaces) are observability tools, not resource provisioning mechanisms.
Self-service APIs empower developers, reduce cognitive load, and minimize bottlenecks. They also align with the platform engineering principle of "treating the platform as a product," where developers are customers, and the platform offers curated golden paths to simplify consumption of infrastructure and services.
References:- CNCF Platforms Whitepaper- CNCF Platform Engineering Maturity Model- Cloud Native Platform Engineering Study Guide

NEW QUESTION # 37
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Linux Foundation CNPA Valid Torrent & CNPA Test Practice

Efficient CNPA Valid Torrent & Leading Offer in Qualification Exams & Free PDF Linux Foundation Certified Cloud Native Platform Engineering Associate

Linux Foundation Certified Cloud Native Platform Engineering Associate Sample Questions (Q32-Q37):

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