PCDBEGCP2025 최신 문제 업데이트

Google Professional Cloud Database Engineer

Cloud Pass는 GCP PCDBE(Google Professional Cloud Database 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 PCDBE 덤프 대신, Cloud Pass에서는 최근 출제 경향 기반의 연습 문제와 상세 해설을 통해 효율적으로 학습하고 점수를 끌어올릴 수 있습니다. 또한 Google Professional Cloud Database Engineer(PCDBE)뿐만 아니라 AWS · GCP 자격증 24종을 한 앱에서 모두 학습할 수 있어 클라우드 자격증을 준비하는 수험생에게 최적화되어 있습니다.

📘163개의 문제를 앱에서 풀어보세요

⭐ 실제 사용자들의 PCDBE 합격 후기

Cloud Pass로 합격한 사용자들의 생생한 경험

Passed on my first attempt!

2025-11-24

Cloud Pass helped me master through practical and realistic questions. The explanations were clear and helped me understand.

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

학습 기간: 1 month

첫 시험 합격!

2025-11-21

문제 다 풀고 시험쳤는데 유사한 문제가 많았어요. 다른 분들도 화이팅입니다!

혜

혜**

학습 기간: 1 month

Passed !!

2025-11-16

I studied with Cloud Pass for two weeks, doing around 20 ~30 questions a day. The difficulty level was very similar to the real PCDBE exam. If you’re preparing for this certification, this app is a must have.

L***********

학습 기간: 2 weeks

Passed

2025-11-15

Very close to the real exam. Thanks

A************

학습 기간: 1 month

Great coverage of all database domains

2025-10-30

Being able to reset my progress and re-solve the hard questions helped me a lot. Passed!

P************

학습 기간: 1 month

Excellent for scenario based learning

2025-10-10

This exam is heavily scenario-focused, and the Cloud Pass questions matched that perfectly. The app helped me get comfortable with migration strategies, HA design, and performance troubleshooting. Highly recommend for PCDBE.

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

학습 기간: 1 month

📝 163개의 시험 문제

2025 최신 업데이트된 문제들을 확인해보세요

Question 1

Your media-streaming platform uses Memorystore for Redis (Standard Tier, Redis 6.x) as a cache for user session tokens and frequently requested metadata; during live event traffic spikes, p95 cache latency jumps from 6 ms to 180–250 ms, and Cloud Monitoring shows memory utilization at 95–98% with Redis INFO reporting ~25,000 evicted_keys/min and an eviction policy of allkeys-lru; average key size is ~1.5 KB, average TTL is 5 minutes, CPU stays under 40%, and network RTT between your GKE cluster and the Redis instance is ~1 ms in the same region; you need to reduce the frequency and impact of these latency spikes. What should you do?

Question 2

Your healthcare analytics company is migrating a self-managed PostgreSQL 12 database from an on-premises datacenter to Cloud SQL for PostgreSQL; after cutover, the system must tolerate a single-zone outage in the target region with no more than 3 minutes of disruption (RTO ≤ 3 minutes) and zero transaction loss (RPO = 0), and you want to follow Google-recommended practices for the migration—what should you do?

Question 3

Your edtech platform uses Cloud Firestore for storage and serves a React web app to a global audience. Each day at 00:00 UTC, you publish the same Top 20 practice tips (20 documents, ~5 KB each; total payload ~100 KB) to approximately 5 million daily active users across North America, Europe, and APAC. You need to cut Firestore read costs and achieve sub-150 ms p95 load times for this daily list while the content remains identical for 24 hours. What should you do?

Question 4(2개 선택)

Your travel-tech company operates a globally distributed seat allocation platform on Cloud Spanner with 3 read-write and 6 read-only regions; after importing 12 million seat and route records from a partner, you observe write latency spikes and CPU hotspots on 2 of 8 leader replicas, and Cloud Monitoring shows hot ranges on a table keyed by a monotonically increasing ticket_id and a composite key (route_id, class) where class has only 3 distinct values; at peak 35,000 writes/second, 70% of writes concentrate in a narrow key range; to follow Google-recommended schema design practices and avoid hotspots without sacrificing strong consistency or availability, what should you do? (Choose two.)

Question 5

You are building a Pub/Sub–triggered service on Cloud Functions (2nd gen) in us-central1 that must connect to a Cloud SQL for PostgreSQL instance. Your security policy requires the database to accept connections only from workloads inside the prod-vpc VPC, with no public internet exposure. The function can scale up to 200 concurrent requests during peak load, and you need stable connection management. What should you do to meet the security and performance requirements?