- A
Amazon ElastiCache for Redis with RedisJSON module.
Why wrong: Not a primary database; not MongoDB compatible.
- B
Amazon DocumentDB (with MongoDB compatibility).
DocumentDB is MongoDB-compatible and supports aggregation pipeline.
- C
Amazon DynamoDB with DynamoDB Streams and Lambda for aggregation.
Why wrong: Requires significant application changes; not MongoDB API compatible.
- D
Amazon Aurora with JSON data type.
Why wrong: Relational database, not compatible with MongoDB aggregation pipeline.
Quick Answer
The answer is Amazon DocumentDB (with MongoDB compatibility). This is the correct choice because DocumentDB is engineered to be wire-protocol compatible with MongoDB, meaning it natively supports the MongoDB aggregation pipeline used for real-time analytics without requiring significant code rewrites. On the AWS Certified Database Specialty DBS-C01 exam, this scenario tests your understanding of migration strategies that prioritize minimal application changes—a key differentiator between DocumentDB and other services like DynamoDB or Aurora. A common trap is assuming any NoSQL database will work, but only DocumentDB preserves the aggregation pipeline syntax and operators. Remember the memory tip: “DocumentDB is the drop-in for MongoDB—same pipeline, same code, same analytics.”
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 migrating an on-premises MongoDB database to AWS. The application uses MongoDB's aggregation pipeline for real-time analytics. Which AWS database service is most compatible and provides the least application changes?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"least"Why it matters: You want the option with minimum overhead, fewest steps, or lowest impact — not the most feature-rich or comprehensive answer.
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 DocumentDB (with MongoDB compatibility).
Amazon DocumentDB is designed to be MongoDB-compatible, supporting the MongoDB aggregation pipeline with minimal changes. This allows the company to migrate the existing MongoDB database and continue using the same aggregation pipeline for real-time analytics without rewriting application code, making it the most compatible option.
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 ElastiCache for Redis with RedisJSON module.
Why it's wrong here
Not a primary database; not MongoDB compatible.
- ✓
Amazon DocumentDB (with MongoDB compatibility).
Why this is correct
DocumentDB is MongoDB-compatible and supports aggregation pipeline.
Clue confirmation
The clue word "least" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon DynamoDB with DynamoDB Streams and Lambda for aggregation.
Why it's wrong here
Requires significant application changes; not MongoDB API compatible.
- ✗
Amazon Aurora with JSON data type.
Why it's wrong here
Relational database, not compatible with MongoDB aggregation pipeline.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may assume DynamoDB's flexibility or Aurora's JSON support can easily replace MongoDB's aggregation pipeline, overlooking the fundamental differences in query language and data model that necessitate significant application rewrites.
Detailed technical explanation
How to think about this question
Amazon DocumentDB implements the MongoDB wire protocol, allowing it to interpret MongoDB aggregation pipeline stages like $match, $group, and $sort natively. Under the hood, it uses a distributed, fault-tolerant storage architecture that replicates data across three Availability Zones, ensuring high durability and availability for real-time analytics workloads. In a real-world scenario, a company using MongoDB's $lookup for joins across collections can migrate to DocumentDB with no code changes, whereas other services would require restructuring data or implementing custom join logic.
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.
- →
Workload-Specific Database Design — study guide chapter
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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 DocumentDB (with MongoDB compatibility). — Amazon DocumentDB is designed to be MongoDB-compatible, supporting the MongoDB aggregation pipeline with minimal changes. This allows the company to migrate the existing MongoDB database and continue using the same aggregation pipeline for real-time analytics without rewriting application code, making it the most compatible option.
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.
Are there clue words in this question I should notice?
Yes — watch for: "least". You want the option with minimum overhead, fewest steps, or lowest impact — not the most feature-rich or comprehensive answer.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 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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