Quick Answer
The answer is the scalability model, access pattern, and transaction support. These three factors are the primary differentiators because DynamoDB is built for horizontal scaling with key-value access patterns and limited transactional capabilities, while Amazon Aurora is a relational database designed for vertical scaling, complex SQL queries, and full ACID transactions. On the AWS Certified Database Specialty DBS-C01 exam, this comparison tests your ability to match workload requirements to the correct database service, often appearing in scenario-based questions where you must identify why a relational model fails for high-throughput, low-latency needs. A common trap is focusing on data size or cost, which are not decisive here—both services can handle large datasets and have similar pricing tiers. Instead, remember the mnemonic “SAT” for Scalability, Access pattern, and Transaction support to quickly eliminate wrong answers.
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.
Which THREE factors should be considered when choosing between Amazon DynamoDB and Amazon Aurora for a new application? (Select THREE.)
Access patterns (key-value vs relational queries)
Determines NoSQL vs SQL choice.
Need for complex joins and transactions
Aurora supports ACID transactions with joins.
Scalability model (horizontal vs vertical)
DynamoDB scales horizontally; Aurora scales vertically.
Cost per GB of storage
Why wrong: Not a primary factor; both have different pricing.
Maximum data size per table
Why wrong: Both can handle large datasets.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Access patterns (key-value vs relational queries)
Access pattern (key-value vs relational), transaction support (Aurora supports complex transactions), and scalability model (DynamoDB scales horizontally) are key. Data size and cost are not primary differentiators.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Access patterns (key-value vs relational queries)
Why this is correct
Determines NoSQL vs SQL choice.
Related concept
Static NAT maps one inside address to one outside address.
Need for complex joins and transactions
Why this is correct
Aurora supports ACID transactions with joins.
Related concept
Static NAT maps one inside address to one outside address.
Scalability model (horizontal vs vertical)
Why this is correct
DynamoDB scales horizontally; Aurora scales vertically.
Related concept
Static NAT maps one inside address to one outside address.
Cost per GB of storage
Why it's wrong here
Not a primary factor; both have different pricing.
Maximum data size per table
Why it's wrong here
Both can handle large datasets.
Common exam traps
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DBS-C01 NAT questions on configuration and troubleshooting.
Workload-Specific Database Design — study guide chapter
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Workload-Specific Database Design practice questions
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FAQ
Workload-Specific Database Design — This question tests Workload-Specific Database Design — Static NAT maps one inside address to one outside address..
The correct answer is: Access patterns (key-value vs relational queries) — Access pattern (key-value vs relational), transaction support (Aurora supports complex transactions), and scalability model (DynamoDB scales horizontally) are key. Data size and cost are not primary differentiators.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DBS-C01 NAT questions on configuration and troubleshooting.
Static NAT maps one inside address to one outside address.
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Same concept, more angles
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Which THREE factors should be considered when choosing between Amazon RDS and Amazon DynamoDB for a new application? (Choose 3.)
mediumWhy C: Amazon RDS is a relational database service that excels at complex queries involving joins and aggregations, while DynamoDB is a NoSQL key-value and document database optimized for predictable, high-scale access patterns. The choice between them hinges on whether the application requires relational features (RDS) or can tolerate denormalized schemas for low-latency, horizontal scaling (DynamoDB). Option C is correct because DynamoDB is designed for ad-hoc, single-key lookups and simple queries, whereas RDS supports complex, ad-hoc SQL queries with joins.
Last reviewed: Jun 20, 2026
This DBS-C01 practice question is part of Courseiva's free Amazon Web Services 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 DBS-C01 exam.
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