DBS-C01 Deployment and Migration Practice Question
A company is migrating an on-premises MySQL database to Amazon RDS for MySQL. The database has a table with 100 million rows. During the migration using AWS DMS, the full load phase is taking too long. What change can speed up the full load?
⚠ Common exam trap
The DBS-C01 exam often tests the misconception that increasing source or target instance size is the primary lever for migration speed, when in fact DMS's parallelism settings directly control concurrency and are the most impactful change for full load performance.
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 DMS task mappings (parallel threads)
Increasing the number of DMS task mappings (parallel threads) allows DMS to partition the source table and load multiple segments concurrently, significantly reducing the full load duration. By default, DMS uses a single thread per table; adding parallel threads leverages the source database's read capacity and the target RDS instance's write throughput more efficiently.
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 number of DMS task mappings (parallel threads)
Why this is correct
More threads can process data in parallel, speeding up full load.
- ✗
Reduce the target RDS instance storage to minimize write latency
Why it's wrong here
Storage size does not directly affect write speed.
- ✗
Increase the size of the source on-premises database instance
Why it's wrong here
Source performance does not affect DMS throughput directly.
- ✗
Disable LOB columns in the task settings
Why it's wrong here
Disabling LOBs may cause data loss if LOBs are present.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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