Question 1 of 1,711
DEA-C01 Data Operations and Support Practice Question
A company uses AWS DMS to migrate an on-premises Oracle database to Amazon Aurora PostgreSQL. The migration is ongoing with continuous replication. The data engineer notices that the target Aurora database has a higher lag than expected. Which action would most likely reduce the lag?
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
✓
Increase the number of parallel tasks in the DMS task settings
Increasing the number of parallel tasks in a DMS task improves throughput, allowing data to be loaded faster to the target and reducing replication lag. Option A is incorrect because the S3 bucket size does not affect DMS replication performance. Option C is incorrect: while Batch Optimized Apply can reduce apply overhead on certain targets like PostgreSQL, increasing parallel tasks is a more direct and effective way to address lag. Option D is incorrect because disabling validation reduces data integrity checks and may provide only minor lag reduction, but it is not the recommended primary action.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the size of the S3 bucket used for staging
Why it's wrong here
Staging bucket size does not affect replication speed.
- ✓
Increase the number of parallel tasks in the DMS task settings
Why this is correct
More parallel tasks improve apply throughput.
- ✗
Enable Batch Optimized Apply on the DMS task
Why it's wrong here
While Batch Optimized Apply can reduce apply overhead on Aurora PostgreSQL, increasing the number of parallel tasks is a more direct and effective way to address replication lag.
- ✗
Disable validation of data on the target
Why it's wrong here
Validation is not the main cause of lag.
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 |
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Last reviewed: Jun 20, 2026
This DEA-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 DEA-C01 exam.
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