Practice Test #2
50개 문제와 90분 시간 제한으로 실제 시험을 시뮬레이션하세요. AI 검증 답안과 상세 해설로 학습하세요.
50문제90분700/1000합격 점수
AI 기반
3중 AI 검증 답안 및 해설
모든 답안은 3개의 최고 AI 모델로 교차 검증하여 최고의 정확도를 보장합니다. 선택지별 상세 해설과 심층 문제 분석을 제공합니다.
GPT Pro
Claude Opus
50개 문제와 90분 시간 제한으로 실제 시험을 시뮬레이션하세요. AI 검증 답안과 상세 해설로 학습하세요.
AI 기반
모든 답안은 3개의 최고 AI 모델로 교차 검증하여 최고의 정확도를 보장합니다. 선택지별 상세 해설과 심층 문제 분석을 제공합니다.
A smart home company runs its control platform on a managed messaging service from its cloud provider that guarantees 99.99% monthly availability, but last month monitoring showed only 99.6% availability (about 173 minutes of cumulative downtime), intermittently preventing devices from receiving commands—what is a likely impact on the organization?
A regional hospital network plans to use Google Cloud’s advanced ML services (such as Vertex AI) for radiology model training and inference, but regulations require all 120 TB of patient images and metadata to remain stored only in its on-premises data center; the hospital has a 5 Gbps Dedicated Interconnect to Google Cloud and must ensure no PHI is persisted in the public cloud. Which overall cloud strategy should they adopt to meet these constraints while still using Google Cloud’s ML capabilities?
An e-commerce startup named ParcelPeak operates a Cloud SQL for PostgreSQL instance (db-custom-4-15360) ingesting about 400,000 order, payment, and refund rows per day from 7 microservices across 3 regions. Executives request weekly KPI dashboards and ad-hoc cohort revenue analysis without exporting data to on-prem systems. In this situation, which capability of Cloud SQL most directly helps the team turn this operational data into business insights?
An online language-learning platform with 500,000 paying learners sees a 15% annual cancellation rate and wants to proactively retain users by offering a 20% discount and personalized study plans. They have 36 months of historical data including demographics, session frequency, lesson completion rates, support tickets, and a label indicating whether each user canceled. What should the company do to use data and AI to identify at-risk subscribers for targeted retention?
A media-streaming company operates 14 microservices on Google Kubernetes Engine (GKE), receives about 70 paging alerts per week, and estimates that roughly 40% of engineering hours are spent on repetitive, manual tasks like log triage, ticket updates, and release rollbacks; the team wants to boost operational efficiency without reducing service scope or relaxing SLOs. Which SRE best practice should they prioritize to increase efficiency?
이동 중에도 모든 문제를 풀고 싶으신가요?
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Your healthcare analytics startup operates 18 Google Cloud projects across 3 folders under a single organization, and auditors require quarterly organization-wide compliance reports aligned to CIS benchmarks and PCI DSS; you need a native service that continuously identifies misconfigurations and threats across all current and future projects and provides centralized dashboards to help maintain and attest to compliance. Which Google Cloud product should you use?
Your team is building an IoT telemetry platform for a fleet of 15,000 sensors across 120 factories; each sensor sends JSON payloads every 10 seconds, and the fields differ by device model and firmware version, with new attributes added weekly; to avoid frequent schema migrations and keep write latency under 50 ms, you are considering a non-relational database. In this scenario, what is a defining feature of the non-relational database that makes it a good fit?
A sports-streaming startup plans to launch a new containerized live-score microservice on Google Cloud; traffic could fluctuate from 30 requests per minute during off-hours to 15,000 requests per minute during championship games, and they want to avoid paying for idle capacity when demand drops to near zero overnight. Which benefit of a serverless platform best addresses this requirement?
A nationwide food delivery platform operates workloads across 3 Google Cloud projects and needs a fully managed, centralized dashboard to view infrastructure metrics, create alerts, and run built-in 1-minute HTTP uptime checks for two public APIs; which Google Cloud service should they use?
A retail analytics startup runs 12 microservices on Cloud Run and GKE across two Google Cloud projects in us-central1 and europe-west1, and they need a single Google-managed service to automatically collect, index, and retain all application logs (stdout/stderr and system logs) from these workloads for troubleshooting and log-based metrics without installing any third-party agents; which service should they use?
학습 기간: 1 month
시험 문제랑 많이 유사해서 좋았어요. 강의 다 듣고난 후에 문제 찾기 어려웠는데 앱 너무 잘 이용했네요
학습 기간: 1 month
Good questions and explanations. The resource is very similar to the real exam questions. Thanks.
학습 기간: 1 month
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.
학습 기간: 2 months
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.
학습 기간: 1 month
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.
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