Cloud Digital Leader Google Cloud Products and Services Practice Question
Which Google Cloud service provides a fully managed, serverless data warehouse for petabyte-scale analytics with SQL?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
BigQuery
BigQuery is Google Cloud's fully managed, serverless data warehouse. It supports SQL queries at petabyte scale with no infrastructure to manage. Cloud SQL is for OLTP, Dataproc is for Hadoop/Spark, and Dataflow is for stream/batch processing.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Cloud SQL
Why it's wrong here
Cloud SQL is a fully managed relational database service supporting MySQL, PostgreSQL, and SQL Server. It is optimized for online transaction processing (OLTP) workloads with row-level inserts, updates, and point lookups, not for large-scale analytical queries. While it is serverless in the sense of managed patching and replicas, it does not provide the petabyte-scale, columnar analytics or separation of storage and compute that define a data warehouse, so it is incorrect here.
- ✓
BigQuery
Why this is correct
BigQuery is Google Cloud's serverless, highly scalable, SQL-based data warehouse. It automatically manages infrastructure and scales compute and storage independently, using a columnar storage format and a distributed query engine (Dremel) to run analytics on petabytes of data. With a pay-per-query pricing model and no clusters to provision, BigQuery is the definitive choice for a fully managed data warehouse on Google Cloud.
- ✗
Dataproc
Why it's wrong here
Dataproc is a managed service for running Apache Hadoop, Spark, Flink, and other open-source data processing frameworks. It lets you create and scale clusters on demand, but those clusters are still infrastructure you manage (even if ephemeral), and the service is designed for ETL, batch processing, or machine learning pipelines, not for interactive SQL-based data warehousing. Dataproc does not provide the built-in SQL engine, columnar storage, or BI integration that BigQuery offers, so it is not a data warehouse.
- ✗
Dataflow
Why it's wrong here
Dataflow is a unified stream and batch data processing service built on Apache Beam. It executes pipelines for ETL, real-time streaming, and event processing, but it is not a data warehouse with a persistent SQL query interface. Dataflow transforms and moves data; it does not store data for analytics, nor does it offer ad-hoc SQL querying or columnar storage like BigQuery, making it an incorrect answer for a fully managed data warehouse.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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Related to this question
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Cloud Digital Transformation
Key term
BigQuery
BigQuery is a fully managed, serverless data warehouse on Google Cloud that lets you run fast SQL queries on massive datasets without managing any infrastructure.
Key term
Data
Data is raw, unprocessed information, like numbers, words, or measurements, that can be stored, processed, and analyzed by computers.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This GCDL practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the GCDL exam.