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GCP · Foundational

Google Cloud Digital Leader

Prepare for this GCP Foundational exam. Try an exam-style question first, then review the exam domains and practice-test format.

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Exam preparation details

287+

Practice Questions

6

Exam Domains

3

Practice Tests

90

Minutes

Practice-test format

50 Questions · 90 Minutes · Passing Score 700/1000

Practice QuestionsExam DomainsSuccess Stories

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Practice Questions 1

A digital banking startup plans to migrate its core ledger data management to Google Cloud. It must support ACID, strongly consistent transactional SQL across 7 years (~25 TB) of account history with multi-region availability, and dynamically scale from 12,000 TPS during normal hours to 60,000 TPS at month-end peaks without manual sharding. Which Google Cloud product best meets these requirements?

BigQuery is a serverless, highly scalable analytics data warehouse optimized for OLAP queries over large datasets. It can store and query many terabytes efficiently, but it is not designed for high-throughput OLTP workloads requiring strongly consistent, ACID transactional updates at tens of thousands of TPS. While BigQuery supports transactions in limited contexts, it is not the system-of-record ledger database for multi-region, strongly consistent transactional processing.
Cloud Bigtable is a wide-column NoSQL database that excels at very high throughput and low-latency reads/writes for time-series, IoT, and large key/value workloads. However, it is not a relational SQL database and does not provide the same strongly consistent, ACID transactional semantics across complex relational operations expected for a banking core ledger. Multi-cluster replication exists, but it’s not a drop-in for transactional SQL ledgers.
Pub/Sub is a global messaging and event ingestion service used to decouple systems and stream events reliably. It does not store data as a transactional database, does not provide SQL querying, and does not support ACID transactions for ledger state management. Pub/Sub could be part of an event-driven architecture around the ledger (e.g., publishing transaction events), but it cannot be the core ledger datastore.
Cloud Spanner is a globally distributed, horizontally scalable relational database that provides SQL, schemas, and ACID transactions with strong (external) consistency. It supports multi-region configurations for high availability and can scale throughput by adding nodes/processing units without manual sharding. These capabilities directly match a core banking ledger requirement: correct transactional behavior, multi-region resilience, large data volume (25 TB), and scaling from 12k to 60k TPS.

Exam Domains

Use the exam weights to decide which domains to study first.

Digital Transformation with Google CloudWeight 17%
Exploring Data Transformation with Google CloudWeight 16%
Innovating with Google Cloud Artificial IntelligenceWeight 16%
Modernize Infrastructure and Applications with Google CloudWeight 17%
Trust and Security with Google CloudWeight 17%
Scaling with Google Cloud OperationsWeight 17%

Success Stories(7)

이
이**Nov 17, 2025

Study period: 1 month

The questions were very similar to the exam. It was difficult to find good practice after finishing my course, so I made great use of this app.

**************Nov 12, 2025

Study period: 1 month

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

S
S***Nov 10, 2025

Study period: 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.

A
a***Nov 4, 2025

Study period: 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.

D
d********Oct 31, 2025

Study period: 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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