- A
Amazon DynamoDB
Why wrong: DynamoDB does not support complex SQL queries natively.
- B
Amazon DocumentDB
Why wrong: DocumentDB is a document database, not optimized for complex joins.
- C
Amazon Aurora
Aurora provides strong consistency, durability, and full SQL support.
- D
Amazon Redshift
Why wrong: Redshift is for data warehousing, not transactional workloads.
Question 435 of 1,730
DBS-C01 Workload-Specific Database Design Practice Question
This DBS-C01 practice question tests your understanding of workload-specific database design. 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 financial services company needs to store trade data with strong consistency, high durability, and the ability to run complex SQL queries on the data. The data volume is 10 TB and grows by 1 GB per day. Queries must return results in less than 5 seconds. Which database solution best meets these requirements?
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
✓
Amazon Aurora
Amazon Aurora is the correct choice because it is a fully relational, ACID-compliant database that provides strong consistency, high durability (6-way replication across 3 AZs), and supports complex SQL queries. With 10 TB of data and 1 GB/day growth, Aurora can scale storage automatically up to 128 TB and, using features like Aurora Serverless or provisioned instances with read replicas, can achieve sub-5-second query performance for complex analytical queries when properly indexed and optimized.
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.
- ✗
Amazon DynamoDB
Why it's wrong here
DynamoDB does not support complex SQL queries natively.
- ✗
Amazon DocumentDB
Why it's wrong here
DocumentDB is a document database, not optimized for complex joins.
- ✓
Amazon Aurora
Why this is correct
Aurora provides strong consistency, durability, and full SQL support.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Redshift
Why it's wrong here
Redshift is for data warehousing, not transactional workloads.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose Amazon Redshift because of its reputation for handling large data volumes and complex queries, but they overlook the requirement for strong consistency and sub-5-second latency on transactional data, which Redshift's columnar storage and distributed architecture are not optimized for.
Detailed technical explanation
How to think about this question
Aurora uses a distributed storage subsystem that separates compute from storage, allowing storage to scale automatically in 10 GB increments up to 128 TB while maintaining 6 copies of data across 3 Availability Zones with continuous backup to S3. For complex SQL queries, Aurora supports features like parallel query, global databases, and read replicas (up to 15) that can offload read-heavy workloads, and its buffer cache and query result caching can help achieve sub-5-second response times for well-tuned queries. In a real-world scenario, a financial services firm might use Aurora with Multi-AZ deployment to ensure high availability and strong consistency for trade settlement data, while leveraging Aurora's native integration with AWS Lambda for event-driven processing.
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 DBS-C01 question test?
Workload-Specific Database Design — This question tests Workload-Specific Database Design — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon Aurora — Amazon Aurora is the correct choice because it is a fully relational, ACID-compliant database that provides strong consistency, high durability (6-way replication across 3 AZs), and supports complex SQL queries. With 10 TB of data and 1 GB/day growth, Aurora can scale storage automatically up to 128 TB and, using features like Aurora Serverless or provisioned instances with read replicas, can achieve sub-5-second query performance for complex analytical queries when properly indexed and optimized.
What should I do if I get this DBS-C01 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.
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Last reviewed: Jul 4, 2026
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