PCDOEGCP2025 최신 문제 업데이트

Google Professional Cloud DevOps Engineer

Cloud Pass는 GCP PCDOE(Google Professional Cloud DevOps Engineer) 시험 대비를 위한 실전 문제 풀이 앱입니다.

최신 시험 경향을 반영한 실제처럼 구성된 문제, 정확한 정답, 명확한 개념 설명을 제공합니다. 인터넷에 떠도는 검증되지 않은 GCP PCDOE 덤프 대신, Cloud Pass에서는 최근 출제 경향 기반의 연습 문제와 상세 해설을 통해 효율적으로 학습하고 점수를 끌어올릴 수 있습니다. 또한 Google Professional Cloud DevOps Engineer(PCDOE)뿐만 아니라 AWS · GCP 자격증 24종을 한 앱에서 모두 학습할 수 있어 클라우드 자격증을 준비하는 수험생에게 최적화되어 있습니다.

📘199개의 문제를 앱에서 풀어보세요

⭐ 실제 사용자들의 PCDOE 합격 후기

Cloud Pass로 합격한 사용자들의 생생한 경험

Best hands-On practice for DevOps

2025-11-24

The exam has many operational scenarios, and Cloud Pass prepared me well for them. The explanations were clear and helped me understand not just the “what” but the “why” behind each solution.

R**********

학습 기간: 1 month

합격했습니다!

2025-11-20

문제와 해설이 있어서 좋았고, 시험에서 무난하게 합격했어요. 시험에서 안보이던 유형도 나왔는데 잘 풀긴 했네요

진

진**

학습 기간: 1 month

Great Prep for DevOps on GCP

2025-11-17

The practice questions were challenging in a good way, and many matched the style of the real exam. I passed!

J************

학습 기간: 1 month

I passed the exam on first try

2025-11-14

very close to the real exam format

N************

학습 기간: 1 month

Perfect for final revision

2025-10-18

I used Cloud Pass during my last week of preparation, and it helped me fill in gaps I didn’t even know I had.

D***********

학습 기간: 1 month

Passed!

2025-10-16

I loved how the questions forced me to think like an SRE—choosing between rollback vs roll-forward, reducing toil, improving MTTR, and designing alerting policies. This app was the key to passing my exam.

M***********

학습 기간: 1 month

📝 199개의 시험 문제

2025 최신 업데이트된 문제들을 확인해보세요

Question 1

Your media-streaming company operates on Google Cloud with 6 departments each mapped to a folder under the organization; there are 120 existing projects and about 10 new projects are created every month, and the security team requires that every log entry (all log types and resource types, across all regions) be exported in near real time to a third-party SIEM that ingests from a Cloud Pub/Sub topic named siem-ingest, so you must implement a solution that automatically covers all current and future projects with minimal ongoing maintenance and does not move logs into Cloud Logging buckets; what should you do?

Question 2

You manage the release pipeline for a payments API running on a regional GKE cluster in us-central1. The API is exposed via a Kubernetes Service (ClusterIP) behind an HTTP Ingress managed by Cloud Load Balancing. You implement blue/green by running two Deployments: pay-blue-v1 and pay-green-v2, each with 10 replicas and labels color=blue/green. During the cutover, you updated the Service selector to color=green to send 100% of ~1,500 RPS to pay-green-v2. Within 2 minutes, the HTTP 5xx error rate spikes to 7%, breaching the 1% SLO target. You must roll back immediately with less than 30 seconds of impact, without rebuilding images or modifying the Ingress configuration. What should you do?

Question 3

Your company runs a payments API behind an NGINX Ingress Controller on a GKE Standard cluster with three n2-standard-4 nodes; the Ops Agent DaemonSet is deployed on all nodes and forwards access logs to Cloud Logging. In the past hour you observed suspicious traffic from the IP address 198.51.100.77, and you need to visualize the per-minute count of requests from this IP in Cloud Monitoring without changing application code or deploying additional collectors. What should you do to achieve this with minimal operational overhead?

Question 4

Your team runs a CI pipeline that executes ~200 integration test jobs per day, and each job must call internal gRPC APIs that are reachable only on 10.20.0.0/16 in a Shared VPC with no external IPs or NAT; the security policy requires that test traffic must never traverse the public internet, you are not allowed to maintain bastion hosts or custom proxies, tests must finish within 10 minutes per run, and you want the least operational overhead for setup and ongoing management—what should you do?

Question 5

A biotech company aggregates container and application logs from 15 Google Cloud projects into a single Cloud Logging bucket in a dedicated observability project using aggregated sinks with a 30-day retention policy. Compliance requires that each of the 8 product squads can only view logs originating from their own project(s), while the SRE team must be able to view all logs across all projects. You must implement least-privilege access, avoid duplicating data, and minimize ongoing costs and operational overhead. What should you do?