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CNPA최신기출자료, CNPA적중율높은시험덤프공부
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지금 같은 세대에 많은 분들이 IT업계에 관심을 가지고 있습니다. 이렇게 인재가 많은 사회에서 IT관련인사들은 아직도 적은 편입니다. 면접 시에도 IT인증 자격증유무를 많이들 봅니다. 때문에 IT자격증이 많은 인기를 누리고 있습니다.이런 살아가기 힘든 사회에서 이런 자격증들 또한 취득하기가 넘 어렵습니다.Linux Foundation CNPA인증시험 또한 아주 어려운 시험입니다. 많은 분들이 응시하지만 통과하는 분들은 아주 적습니다.
CNPA최신기출자료 시험준비에 가장 좋은 시험기출문제 모음집
Pass4Test는 자격증 응시자에게Linux Foundation CNPA 시험 준비를 위한 현재 그리고 가장 최근의 자료들을 제공하는 이 산업 영역의 리더입니다. Pass4Test는Linux Foundation CNPA덤프를 시험문제변경에 따라 계속 갱신하여 고객님께서 받은 것이Linux Foundation CNPA 시험의 가장 최신 기출문제임을 보증해드립니다.
최신 Cloud and Containers CNPA 무료샘플문제 (Q35-Q40):
질문 # 35
In the context of observability, which telemetry signal is primarily used to record events that occur within a system and are timestamped?
- A. Metrics
- B. Alerts
- C. Logs
- D. Traces
정답:C
설명:
Logs are detailed, timestamped records of discrete events that occur within a system. They provide granular insight into what has happened, making them crucial for debugging, auditing, and incident investigations.
Option A is correct because logs capture both normal and error events, often containing contextual information such as error codes, user IDs, or request payloads.
Option B (alerts) are secondary outputs generated from telemetry signals like logs or metrics and are not raw data themselves. Option C (traces) represent the flow of requests across distributed systems, showing relationships and latency between services but not arbitrary events. Option D (metrics) are numeric aggregates sampled over intervals (e.g., CPU usage, latency), not discrete, timestamped events.
Observability guidance in cloud native systems emphasizes the "three pillars" of telemetry: logs, metrics, and traces. Logs are indispensable for root cause analysis and compliance because they preserve historical event context.
References:- CNCF Observability Whitepaper- OpenTelemetry Documentation (aligned with CNCF)- Cloud Native Platform Engineering Study Guide
질문 # 36
Which Kubernetes feature allows you to control how Pods communicate with each other and external services?
- A. Role-based access control (RBAC)
- B. Pod Security Standards
- C. Network Policies
- D. Security Context
정답:C
설명:
Kubernetes Network Policies are the feature that controls how Pods communicate with each other and external services. Option B is correct because Network Policies define rules for ingress (incoming) and egress (outgoing) traffic at the Pod level, ensuring fine-grained control over communication pathways within the cluster.
Option A (Pod Security Standards) defines policies around Pod security contexts (e.g., privilege escalation, root access) but does not control network traffic. Option C (Security Context) is specific to Pod or container- level permissions, not networking. Option D (RBAC) governs access to Kubernetes API resources, not Pod-to- Pod traffic.
Network Policies are essential for implementing a zero-trust model in Kubernetes, ensuring that only authorized services communicate. This enhances both security and compliance, especially in multi-tenant clusters.
References:- CNCF Kubernetes Security Best Practices- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide
질문 # 37
In a GitOps setup, which of the following correctly describes the interaction between components when using a pull-based approach?
- A. The git repository pushes configuration changes directly to the syncer without any checks.
- B. The syncer continuously checks the git repository for changes and applies them to the target cluster.
- C. The target cluster sends updates to the git repository whenever a change is made.
- D. The syncer uses webhooks to notify the target cluster of changes in the git repository.
정답:B
설명:
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
질문 # 38
A cloud native application needs to establish secure communication between its microservices. Which mechanism is essential for implementing security in service-to-service communications?
- A. mTLS (Mutual TLS)
- B. API Gateway
- C. Load Balancer
- D. Service Mesh
정답:A
설명:
Mutual TLS (mTLS) is the core mechanism for securing service-to-service communication in cloud native environments. Option B is correct because mTLS provides encryption in transit and mutual authentication, ensuring both the client and server verify each other's identity. This prevents unauthorized access, man-in-the- middle attacks, and data leakage.
Option A (API Gateway) manages ingress traffic from external clients but does not secure internal service-to- service communication. Option C (Service Mesh) is a broader infrastructure layer (e.g., Istio, Linkerd) that implements mTLS, but mTLS itself is the mechanism that enforces secure communications. Option D (Load Balancer) distributes traffic but does not handle encryption or authentication.
mTLS is foundational to zero-trust networking inside Kubernetes clusters. Service meshes typically provide automated certificate management and policy enforcement, ensuring seamless adoption of mTLS without requiring developers to modify application code.
References:- CNCF Service Mesh Whitepaper- CNCF Platforms Whitepaper- Cloud Native Platform Engineering Study Guide
질문 # 39
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. ELK Stack
- B. OpenTelemetry
- C. Grafana
- D. Prometheus
정답:D
설명:
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
질문 # 40
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왜 그런 거야, 이미 사방에서 끌어온 화로가 넷이었다, 높은 적중율에 비해 너무 착한 가격, Linux Foundation CNPA덤프의 문제와 답을 모두 기억하시면Linux Foundation CNPA시험에서 한방에 패스할수 있습니다.시험에서 불합격 받으시면 결제를 취소해드립니다.
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