- A
BigQuery
BigQuery is the ideal service for analytical queries on large datasets with fast performance.
- B
Cloud Bigtable
Why wrong: Bigtable is for real-time, high-throughput NoSQL workloads, not analytical queries with sub-second latency on TB-scale data.
- C
AlloyDB
Why wrong: AlloyDB is good for HTAP but typically used for transactional workloads with some analytics, not pure batch analytics at this scale.
- D
Cloud SQL
Why wrong: Cloud SQL is an OLTP database not designed for complex analytics on TB-scale data.
Question 934 of 1,000
PCDOE Design and Plan Database Solutions Practice Question
This PCDOE practice question tests your understanding of design and plan database solutions. 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 startup needs to run complex analytical queries on large datasets (10+ TB) with sub-second to a few seconds latency. The data is structured and updated daily in batch. Which Google Cloud service is best suited for this use case?
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 a serverless, highly scalable data warehouse designed for petabyte-scale analytics with fast SQL queries using columnar storage and a distributed query engine. It supports sub-second to few-second latency on structured data via features like clustering, partitioning, and BI Engine acceleration, and it handles daily batch updates efficiently through batch loading or scheduled queries.
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.
- ✓
BigQuery
Why this is correct
BigQuery is the ideal service for analytical queries on large datasets with fast performance.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Bigtable
Why it's wrong here
Bigtable is for real-time, high-throughput NoSQL workloads, not analytical queries with sub-second latency on TB-scale data.
- ✗
AlloyDB
Why it's wrong here
AlloyDB is good for HTAP but typically used for transactional workloads with some analytics, not pure batch analytics at this scale.
- ✗
Cloud SQL
Why it's wrong here
Cloud SQL is an OLTP database not designed for complex analytics on TB-scale data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between OLTP databases (Cloud SQL, AlloyDB) and OLAP data warehouses (BigQuery), where candidates mistakenly choose a transactional database for analytical workloads due to familiarity with SQL or relational models.
Detailed technical explanation
How to think about this question
BigQuery uses a columnar storage format (Capacitor) and a distributed Dremel query engine that dynamically allocates compute resources, enabling fast scans on large datasets. Its BI Engine provides in-memory caching for sub-second response times on frequently accessed data, and features like materialized views and automatic re-clustering optimize query performance for daily batch updates.
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.
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FAQ
Questions learners often ask
What does this PCDOE question test?
Design and Plan Database Solutions — This question tests Design and Plan Database Solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: BigQuery — BigQuery is a serverless, highly scalable data warehouse designed for petabyte-scale analytics with fast SQL queries using columnar storage and a distributed query engine. It supports sub-second to few-second latency on structured data via features like clustering, partitioning, and BI Engine acceleration, and it handles daily batch updates efficiently through batch loading or scheduled queries.
What should I do if I get this PCDOE 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 PCDOE 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 PCDOE exam.
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