The answer is Amazon RDS for PostgreSQL and Amazon Aurora MySQL, as both are fully ACID-compliant relational database services that natively support complex joins and many-to-many relationships through foreign keys and junction tables. For an e-commerce platform requiring a relational database with ACID and joins, these services provide the transactional consistency and relational integrity needed for product catalog data, where products, categories, and suppliers interconnect. On the AWS Certified Database Specialty DBS-C01 exam, this scenario tests your ability to distinguish relational from NoSQL services—a common trap is choosing DynamoDB, which lacks native joins and multi-item ACID transactions. Remember that any workload demanding complex joins and strict ACID compliance must use a relational engine like PostgreSQL or MySQL, not a key-value or document store. A useful memory tip: if you need to JOIN tables and COMMIT transactions, think RDS or Aurora—never DynamoDB for relational integrity.
DBS-C01 Workload-Specific Database Design Practice Question
This DBS-C01 practice question tests your understanding of workload-specific database design. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 is designing a database for an e-commerce platform that needs to store product catalog data. The data is highly relational with many-to-many relationships between products, categories, and suppliers. The platform requires ACID transactions and complex joins. Which TWO AWS database solutions are suitable for this workload? (Choose TWO.)
Aurora is a relational database with ACID support and complex join capabilities.
B
Amazon RDS for PostgreSQL
RDS for PostgreSQL is a relational database with full ACID compliance and join support.
C
Amazon ElastiCache for Redis
Why wrong: ElastiCache is a cache, not a primary database.
D
Amazon Neptune
Why wrong: Neptune is a graph database, which can model relationships but is not relational and may not be the best fit for ACID transactions in this context.
E
Amazon DynamoDB
Why wrong: DynamoDB is NoSQL and does not support complex joins natively.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon Aurora MySQL
Amazon Aurora MySQL is a fully ACID-compliant relational database that supports complex joins and many-to-many relationships through foreign keys and junction tables. It is optimized for high-throughput e-commerce workloads with features like auto-scaling storage and up to 15 low-latency read replicas, making it suitable for product catalog data that requires transactional consistency.
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 Aurora MySQL
Why this is correct
Aurora is a relational database with ACID support and complex join capabilities.
Related concept
Read the scenario before looking for a memorised answer.
✓
Amazon RDS for PostgreSQL
Why this is correct
RDS for PostgreSQL is a relational database with full ACID compliance and join support.
Related concept
Read the scenario before looking for a memorised answer.
✗
Amazon ElastiCache for Redis
Why it's wrong here
ElastiCache is a cache, not a primary database.
✗
Amazon Neptune
Why it's wrong here
Neptune is a graph database, which can model relationships but is not relational and may not be the best fit for ACID transactions in this context.
✗
Amazon DynamoDB
Why it's wrong here
DynamoDB is NoSQL and does not support complex joins natively.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose DynamoDB for its scalability, overlooking that it cannot handle complex joins and many-to-many relational structures, or they select Neptune thinking it is suitable for any connected data, but it lacks SQL-based ACID transactions and relational integrity needed for product catalogs.
Detailed technical explanation
How to think about this question
Under the hood, Aurora MySQL uses a distributed storage subsystem that separates compute from storage, allowing automatic replication across three Availability Zones with 6 copies of data. For many-to-many relationships, junction tables (e.g., product_category) are used with composite primary keys and foreign key constraints, which Aurora MySQL enforces with row-level locking and MVCC for concurrent transaction isolation. In a real-world e-commerce scenario, this design supports queries like 'find all suppliers for a product in a specific category' with multi-table JOINs that maintain ACID guarantees even under high write loads.
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.
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.
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 MySQL — Amazon Aurora MySQL is a fully ACID-compliant relational database that supports complex joins and many-to-many relationships through foreign keys and junction tables. It is optimized for high-throughput e-commerce workloads with features like auto-scaling storage and up to 15 low-latency read replicas, making it suitable for product catalog data that requires transactional consistency.
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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Question Discussion
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