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Google Cloud Digital Leader
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모든 Google Cloud Digital Leader 답안은 3개의 최고 AI 모델로 교차 검증하여 최고의 정확도를 보장합니다. 선택지별 상세 해설과 심층 문제 분석을 제공합니다.
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?
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?
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?
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?
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?
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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 logistics company operates 24 Kubernetes clusters (12 on-premises, 8 on Google Cloud, and 4 on AWS) to support microservices across 60 warehouses and needs a single, centralized platform to consistently manage policies, configurations, service mesh, and observability across all environments without relocating workloads; which Google Cloud service should they choose?
Your 12-person logistics startup must add image label detection for 50,000 product photos per month and sentiment analysis on 5,000 support emails per week within 30 days and without hiring any new staff; how do Google Cloud's out-of-the-box AI APIs make AI/ML adoption feasible for your team?
A national bike-sharing consortium needs to publish real-time docking station availability (updated every 2 seconds) from 300 municipal operators and simultaneously receive rider rental/return events in real time to forward to each operator’s system. They require a standardized, secure, versioned interface over HTTPS that supports authentication and partner-specific rate limits; what should they implement?
A food-delivery marketplace is building a new order-tracking system that stores JSON documents and requires real-time updates to listeners, offline synchronization for iOS/Android/web clients, automatic serverless scaling from 0 to 150,000 daily active users, and multi-region availability with typical write latencies under 100 ms; which Google Cloud product should they choose for a flexible, scalable NoSQL database with strong web and mobile SDK support?
An international airline is launching a real-time reservation platform serving customers in 12 regions across North America, Europe, and APAC. Seat inventory and payment records must be updated with strongly consistent ACID transactions across regions, 24/7 availability, and sub-100 ms regional read latency, and the system must horizontally scale to over 50 million bookings per day with multi-petabyte operational data growth projected over 3 years. Which Google Cloud product should they choose?
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 international retail marketplace is migrating its order processing and customer analytics to Google Cloud, storing personally identifiable information (PII) for 50 million users across 12 countries in the EU, US, and APAC, with workloads in europe-west1, us-central1, and asia-southeast1. To ensure compliance with global standards during migration—given obligations such as GDPR, CPRA/CCPA, and the Australia Privacy Act—what approach should the company take regarding security and privacy regulations?
A healthcare imaging startup has 0 legacy applications and no on-premises servers to migrate. They plan to launch a new AI-assisted diagnostics platform entirely on Google Cloud within 6 months and explicitly want cloud-native microservices from day 1 (managed services over VMs, no lift-and-shift). Which application modernization approach should they choose?
A fintech company with 12 departments must comply with a policy that forbids any Compute Engine VM from having a public (external) IP; over the next quarter, 5 new folders and about 30 new projects will be created by different teams using automated pipelines. You need a scalable control that applies by default to all current and future resources and prevents assigning external IPs to VMs across the organization; what should you do?
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?
A regional nonprofit with 12 offices and 650 staff must roll out email, calendaring, and a document collaboration suite within 14 days, meet a 99.9% availability target, stay under a $12,000 monthly IT budget, and has only one part-time sysadmin; they want the provider to handle upgrades, backups, security baselines, and scaling so the team can focus on using the apps. In this scenario, which cloud service model is the best fit, and why would choosing SaaS be appropriate?
A nationwide media company runs compute-heavy web, analytics, and ML training workloads across 9 Google Cloud projects that all use the same billing account; per-project monthly costs fluctuate from $2,000 to $18,000, but the combined monthly spend has remained about $100,000 with less than 4% variance over the past 6 months, and most compute runs on Compute Engine in us-central1 and europe-west1; the company wants to optimize costs without reorganizing projects or changing application architecture—what should they do?
A multinational logistics company is onboarding a new workload to Google Cloud for 5 departments (Route Planning, Fleet Maintenance, Customer Support, Finance, Compliance) with 180 employees; access must be tailored per department within 72 hours, changes in membership occur quarterly, and the solution must minimize admin overhead while maintaining clear audit trails and avoiding over-privileged access. What is the quickest and most efficient way to implement department-specific access?
Your team operates a ride-sharing analytics service on Google Cloud across us-central1 and europe-west1, aiming for 99.9% monthly availability and 95th-percentile request latency under 300 ms during peak 18:00–22:00 traffic; within the SRE framework, which concept represents the metric that actually quantifies how well the service is performing?
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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