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Workload-Specific Database Design →easyMultiple ChoiceObjective-mapped

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 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?

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 MySQL

Amazon Aurora MySQL is correct because it supports JSON documents with complex querying on nested attributes via MySQL's JSON data type and JSON path expressions, while also providing full ACID transaction support through its MySQL-compatible engine. As a fully managed service, Aurora handles provisioning, backups, and patching, meeting all stated requirements.

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

    Supports JSON and ACID transactions.

    Related concept

    Read the scenario before looking for a memorised answer.

  • ✗

    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

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often choose Amazon DocumentDB assuming it supports full ACID transactions because of its MongoDB compatibility, but MongoDB (and DocumentDB) only guarantees atomicity for single-document operations, not multi-document ACID transactions, which Aurora MySQL provides via its relational engine.

Detailed technical explanation

How to think about this question

Aurora MySQL's JSON data type stores JSON documents in an internal binary format that allows efficient indexing via generated columns and virtual columns, enabling complex queries like JSON_EXTRACT, JSON_CONTAINS, and JSON_TABLE for nested attribute traversal. Under the hood, Aurora uses a distributed storage system with 6-way replication across three Availability Zones, ensuring durability and ACID compliance through MySQL's InnoDB engine, which supports multi-statement transactions with rollback capabilities. A real-world scenario is an e-commerce platform storing product catalogs with dynamic attributes (e.g., specifications, reviews) that require transactional updates across multiple JSON documents while querying nested fields like 'specs.weight' or 'reviews.rating'.

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 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. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. 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

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.

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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 MySQL — Amazon Aurora MySQL is correct because it supports JSON documents with complex querying on nested attributes via MySQL's JSON data type and JSON path expressions, while also providing full ACID transaction support through its MySQL-compatible engine. As a fully managed service, Aurora handles provisioning, backups, and patching, meeting all stated requirements.

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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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.