- A
Firestore
Why wrong: Document database, not for analytics.
- B
Cloud Bigtable
Why wrong: NoSQL, not SQL analytics.
- C
Cloud SQL
Why wrong: OLTP, not designed for large analytical queries.
- D
BigQuery
Serverless data warehouse for analytics.
Question 238 of 1,000
PDE Storing the Data Practice Question
This PDE practice question tests your understanding of storing the data. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company wants to run complex analytical queries on structured data without managing infrastructure. The data volume is terabytes and queries can take seconds to minutes. Which service is appropriate?
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 correct because it is a serverless, highly scalable data warehouse designed for running complex analytical queries on terabytes of data with fast query performance (seconds to minutes) without any infrastructure management. It uses a columnar storage format and a distributed query engine to handle large-scale structured data efficiently, making it ideal for this use case.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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
Document database, not for analytics.
- ✗
Cloud Bigtable
Why it's wrong here
NoSQL, not SQL analytics.
- ✗
Cloud SQL
Why it's wrong here
OLTP, not designed for large analytical queries.
- ✓
BigQuery
Why this is correct
Serverless data warehouse for analytics.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between OLTP databases (Cloud SQL, Firestore, Bigtable) and OLAP/data warehouse services (BigQuery), where candidates mistakenly choose Cloud SQL for analytical workloads due to its SQL familiarity, ignoring its scalability and performance limitations for large-scale analytics.
Detailed technical explanation
How to think about this question
BigQuery leverages a distributed, multi-tenant architecture with automatic sharding and a columnar storage engine (Capacitor) that compresses data and enables fast scanning of only relevant columns. It uses a tree-based query execution model (Borg-based) that dynamically allocates compute resources, allowing queries to scale to petabytes while charging only for the data processed. A real-world scenario is a company analyzing billions of log entries or sales transactions with complex SQL queries (e.g., window functions, joins) without provisioning clusters.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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 |
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
- →
Storing the Data — study guide chapter
Learn the concepts, then practise the questions
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Storing the Data practice questions
Targeted practice on this topic area only
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FAQ
Questions learners often ask
What does this PDE question test?
Storing the Data — This question tests Storing the Data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: BigQuery — BigQuery is correct because it is a serverless, highly scalable data warehouse designed for running complex analytical queries on terabytes of data with fast query performance (seconds to minutes) without any infrastructure management. It uses a columnar storage format and a distributed query engine to handle large-scale structured data efficiently, making it ideal for this use case.
What should I do if I get this PDE question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jul 4, 2026
This PDE 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 PDE exam.
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