Quick Answer
The answer is Amazon Aurora MySQL because it uniquely combines native JSON document storage with full ACID transaction support and the ability to perform complex nested queries using MySQL’s JSON functions. While DynamoDB offers ACID transactions, it lacks native support for deeply nested attribute queries without workarounds; DocumentDB provides MongoDB-compatible document storage but does not guarantee ACID compliance; and Neptune is a graph database optimized for relationships, not document queries. On the AWS Certified Database Specialty DBS-C01 exam, this question tests your ability to distinguish between managed database services based on their transaction models and query capabilities—a common trap is assuming all NoSQL databases support nested queries equally. Remember the memory tip: “Aurora MySQL is the ACID document Swiss Army knife—it handles JSON, joins, and transactions all in one engine.”
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 company needs to store JSON documents that require complex querying on nested attributes. The database must support ACID transactions and be fully managed. Which service should they use?
Amazon Aurora MySQL
Supports JSON and ACID transactions.
Amazon DocumentDB (with MongoDB compatibility)
Why wrong: Not fully ACID compliant.
Amazon DynamoDB
Why wrong: Limited querying on nested attributes.
Amazon Neptune
Why wrong: For graph data, not JSON documents.
Answer choices
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-Compatible Edition supports JSON data type and ACID transactions. Option B (DynamoDB) is NoSQL but does not support complex nested queries natively. Option C (DocumentDB) is MongoDB-compatible but not ACID. Option D (Neptune) is graph database.
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.
Amazon Aurora MySQL
Amazon DocumentDB (with MongoDB compatibility)
Why it's wrong here
Not fully ACID compliant.
Amazon DynamoDB
Why it's wrong here
Limited querying on nested attributes.
Amazon Neptune
Why it's wrong here
For graph data, not JSON documents.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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.
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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: Amazon Aurora MySQL — Amazon Aurora MySQL-Compatible Edition supports JSON data type and ACID transactions. Option B (DynamoDB) is NoSQL but does not support complex nested queries natively. Option C (DocumentDB) is MongoDB-compatible but not ACID. Option D (Neptune) is graph database.
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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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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