CDLGCP2025 최신 문제 업데이트

Google Cloud Digital Leader

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

📘287개의 문제를 앱에서 풀어보세요

⭐ 실제 사용자들의 CDL 합격 후기

Cloud Pass로 합격한 사용자들의 생생한 경험

합격!

2025-11-17

시험 문제랑 많이 유사해서 좋았어요. 강의 다 듣고난 후에 문제 찾기 어려웠는데 앱 너무 잘 이용했네요

이

이**

학습 기간: 1 month

I passed the exam!

2025-11-12

Good questions and explanations. The resource is very similar to the real exam questions. Thanks.

**************

학습 기간: 1 month

Fantastic materials

2025-11-10

This is exactly what you need to pass the GCP CDL exam. The look and feel are exactly how you would experience the real exam. The questions are very similar and you'll even find a few on the exam itself. I would recommend this for anyone looking to obtain this certification. The exam is not an easy one, so the explanations to the questions are very helpful to solidify your understanding and help.

S***

학습 기간: 1 month

I passed GCP CDL

2025-11-04

I used Cloud Pass to prepare for the GCP CDL exam, and it made a huge difference. The practice questions covered a wide range of scenarios I actually saw on the test. The explanations were clear and helped me understand how LookML and data modeling work in real projects. If you focus on understanding the logic behind each question, this app is more than enough to pass.

a***

학습 기간: 2 months

Passed on the first try

2025-10-31

Cloud Pass was my main study tool for the GCP CDL exam, and I passed on the first try. The questions were realistic and helped me get comfortable with Looker concepts, permissions, explores, and model structures. I especially liked that I could reset my progress and re-solve the tricky questions. Strongly recommend this for anyone targeting CDL.

d********

학습 기간: 1 month

합격!

2025-10-25

시험 합격했어요. 문제 뿐만 아니라 해설이 있는게 정말 좋네요

김

김**

학습 기간: 1 month

📝 287개의 시험 문제

2025 최신 업데이트된 문제들을 확인해보세요

Question 1

A global retail company needs to centralize ingestion of custom application logs from 3 GKE clusters (total 150 microservices), 200 Compute Engine VMs, and 12 Cloud Run services. Requirements: accept JSON-formatted payloads with custom fields and resource labels; create log-based metrics for alerting; query and manage retention in a single place; avoid third-party collectors beyond the Google Ops Agent. Which Google Cloud tool should the company use?

Question 2

A media-streaming company is migrating a 12-node analytics backend to a fully managed relational database service on Google Cloud that prohibits custom agents and targets a 99.95% monthly SLA; to reduce operational toil without writing maintenance scripts, which routine system-maintenance task will the managed platform perform automatically across all instances?

Question 3

Your micromobility startup runs 8 telemetry-processing VMs on Windows Server Standard in a colocation facility. These workloads are needed only from 08:00 to 18:00, Monday–Friday, and you shut them down nights and weekends (about 65% idle time). Your Windows Server licenses expire in 30 days, and you want to minimize ongoing license spend while keeping the ability to stop instances when idle. What should you do?

Question 4

A regional retail company is launching an inventory forecasting service on Google Cloud; finance mandates a single billing account with project-level budgets set to $18,000/month for production and $3,500/month for development, and only 8 engineers should have any permissions in development while none of them may access production; you must ensure that development workloads cannot affect production in terms of IAM, quotas, or network reachability. What should you do to meet these requirements while keeping spend tracking simple?

Question 5

A regional logistics company needs to build two custom AI solutions—package damage detection from images (2.5 million labeled photos) and claim text classification (600,000 labeled records)—and go live in 4 weeks. They require a fully managed, end-to-end platform that supports data preparation, GPU training, automated hyperparameter tuning, pipeline orchestration, online and batch prediction with scalable HTTPS endpoints, model registry, and monitoring, and integrates easily with BigQuery, without stitching together multiple low-level services. Which Google Cloud product should they choose?