easyMultiple Choice
Google PCA Practice Question: Which Google Cloud service provides a fully…
Which Google Cloud service provides a fully managed, serverless data warehouse for petabyte-scale analytics using SQL?
⚠ Common exam trap
Google often tests the distinction between transactional databases (like Cloud SQL, Spanner) and analytical data warehouses (like BigQuery), where candidates mistakenly choose a familiar SQL database service for analytics without recognizing the petabyte-scale, serverless requirement.
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 designed for petabyte-scale analytics using standard SQL. It automatically handles infrastructure scaling, partitioning, and query optimization, allowing users to run fast SQL queries on massive datasets without managing servers or clusters.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Firestore
Why it's wrong here
Firestore is a NoSQL document database for application data, not a SQL analytics warehouse, so it cannot run petabyte-scale SQL queries. It is tempting because it is fully managed and serverless, and would be correct for storing and syncing mobile or web app documents at scale.
- ✗
Cloud Spanner
Why it's wrong here
Cloud Spanner is a globally distributed relational OLTP database, not an analytics warehouse, so it does not deliver petabyte-scale SQL analytics workloads. It is tempting because it is fully managed and scales horizontally, and would be correct for transactional applications needing strong consistency worldwide.
- ✗
Cloud SQL
Why it's wrong here
Cloud SQL is a managed relational database for transactional workloads with limited scale, not a petabyte-scale analytics warehouse. It is tempting because it is fully managed and speaks SQL, and would be correct for hosting conventional MySQL, PostgreSQL, or SQL Server application databases.
- ✓
BigQuery
Why this is correct
BigQuery delivers serverless, petabyte-scale analytics through its Dremel-based execution engine and columnar Capacitor storage, so no infrastructure provisioning is needed. It satisfies the stem's fully managed and serverless constraints while accepting standard SQL, making it the fitting choice for large-scale warehousing workloads.
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 |
Go deeper
Related to this question
Learn chapter
Cloud SQL and Managed Data Stores
Key term
Data
Data is raw, unprocessed information, like numbers, words, or measurements, that can be stored, processed, and analyzed by computers.
Key term
Service
A service is a software component or system that performs a specific function and is available to be used by other programs or users over a network.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PCA 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 PCA exam.