DBS-C01 Workload-Specific Database Design Practice Question
A company is migrating an on-premises MongoDB database to Amazon DocumentDB. The application uses secondary indexes extensively and requires low-latency reads. Which database design consideration is MOST important for this workload?
⚠ Common exam trap
Test-takers frequently assume secondary indexes are automatically compatible between MongoDB and DocumentDB, or they may confuse DocumentDB's storage architecture with Amazon RDS's EBS-based instances, leading them to select options about EBS IOPS or instance sizing instead of focusing on index conversion.
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
✓
Convert secondary indexes to the DocumentDB-compatible format
Secondary indexes in MongoDB must be converted to the Amazon DocumentDB-compatible format. DocumentDB uses a different storage engine and indexing implementation than MongoDB, so indexes created in MongoDB are not automatically compatible. Converting secondary indexes ensures that the query patterns relying on those indexes continue to perform with low-latency reads after migration.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Convert secondary indexes to the DocumentDB-compatible format
Why this is correct
DocumentDB requires indexes to be created in its own format; otherwise queries may not use them.
- ✗
Provision EBS-optimized instances with increased IOPS
Why it's wrong here
DocumentDB uses Amazon EBS volumes, but performance tuning should focus on indexes.
- ✗
Use a larger instance type to avoid indexing issues
Why it's wrong here
Vertical scaling does not solve indexing compatibility problems.
- ✗
Enable DynamoDB Accelerator (DAX) for caching
Why it's wrong here
DAX is for DynamoDB, not DocumentDB.
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