- A
Use AWS Schema Conversion Tool (SCT) to convert MongoDB schemas to DocumentDB compatible format.
SCT helps convert schemas for compatibility.
- B
Use AWS Database Migration Service (DMS) to migrate data from MongoDB Atlas to DocumentDB.
Why wrong: MongoDB Atlas is not the source; the source is self-managed MongoDB.
- C
Use AWS DMS to perform a full load and ongoing replication from MongoDB to DocumentDB.
DMS supports MongoDB as a source and DocumentDB as a target.
- D
Use AWS DMS with an Amazon EBS snapshot as the source for the migration.
Why wrong: DMS does not use EBS snapshots as a source.
- E
Use AWS DMS to migrate data from MongoDB to Amazon DynamoDB, then import into DocumentDB.
Why wrong: DynamoDB is a different database; this adds unnecessary complexity.
Question 1,344 of 1,730
DBS-C01 Deployment and Migration Practice Question
This DBS-C01 practice question tests your understanding of deployment and migration. 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 a self-managed MongoDB database to Amazon DocumentDB (with MongoDB compatibility). Which TWO actions should the company take to ensure a successful migration? (Choose two.)
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
✓
Use AWS Schema Conversion Tool (SCT) to convert MongoDB schemas to DocumentDB compatible format.
Option A is correct because AWS Schema Conversion Tool (SCT) can convert MongoDB schemas to a format compatible with Amazon DocumentDB, handling data type mappings and index definitions. This is essential because DocumentDB uses a different storage engine and schema structure than MongoDB, and SCT automates the conversion of collections, indexes, and validation rules to ensure compatibility before migration.
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.
- ✓
Use AWS Schema Conversion Tool (SCT) to convert MongoDB schemas to DocumentDB compatible format.
Why this is correct
SCT helps convert schemas for compatibility.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use AWS Database Migration Service (DMS) to migrate data from MongoDB Atlas to DocumentDB.
Why it's wrong here
MongoDB Atlas is not the source; the source is self-managed MongoDB.
- ✓
Use AWS DMS to perform a full load and ongoing replication from MongoDB to DocumentDB.
Why this is correct
DMS supports MongoDB as a source and DocumentDB as a target.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use AWS DMS with an Amazon EBS snapshot as the source for the migration.
Why it's wrong here
DMS does not use EBS snapshots as a source.
- ✗
Use AWS DMS to migrate data from MongoDB to Amazon DynamoDB, then import into DocumentDB.
Why it's wrong here
DynamoDB is a different database; this adds unnecessary complexity.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume DMS can migrate from any MongoDB deployment (including Atlas) or that EBS snapshots are valid sources, but DMS strictly requires a live MongoDB endpoint with oplog access for CDC.
Detailed technical explanation
How to think about this question
AWS DMS for MongoDB to DocumentDB uses the MongoDB Change Streams API for ongoing replication (CDC), which requires MongoDB replica set oplog access. The full load phase uses a parallel read approach to extract documents, and DMS automatically handles BSON-to-JSON conversion, but nested arrays and certain data types (e.g., 32-bit integers) may require transformation rules. In real-world scenarios, large collections with sparse indexes can cause performance bottlenecks during full load, so pre-splitting collections into smaller chunks is recommended.
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.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DBS-C01 question test?
Deployment and Migration — This question tests Deployment and Migration — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use AWS Schema Conversion Tool (SCT) to convert MongoDB schemas to DocumentDB compatible format. — Option A is correct because AWS Schema Conversion Tool (SCT) can convert MongoDB schemas to a format compatible with Amazon DocumentDB, handling data type mappings and index definitions. This is essential because DocumentDB uses a different storage engine and schema structure than MongoDB, and SCT automates the conversion of collections, indexes, and validation rules to ensure compatibility before migration.
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.
About these practice questions
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Last reviewed: Jul 4, 2026
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