Question 1,559 of 1,663
DBS-C01 Deployment and Migration Practice Question
Which THREE factors should be considered when choosing between a native database migration tool (e.g., pg_dump) and AWS DMS for migrating a database to Amazon RDS? (Choose three.)
⚠ Common exam trap
It's easy for candidates to assume AWS DMS can perform complex data transformations like an ETL tool, when in fact DMS only supports simple column mappings and transformations, not multi-table joins or business logic rewrites.
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
✓
Downtime tolerance during migration
Downtime tolerance directly influences the choice between a one-time logical dump (pg_dump) and AWS DMS, which supports minimal-downtime migrations via ongoing replication. pg_dump requires the source database to be read-consistent during the dump, often necessitating a read-only or quiesced state, whereas DMS can perform a full load followed by continuous change data capture (CDC) to keep the target nearly in sync with minimal application downtime.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Whether the target database is in a different AWS region
Why it's wrong here
Both native tools and DMS can handle cross-region migrations.
- ✓
Downtime tolerance during migration
Why this is correct
Native tools typically require full downtime; DMS can minimize downtime with ongoing replication.
- ✓
Requirement for ongoing replication to keep the target in sync
Why this is correct
DMS supports ongoing replication; native tools do not.
- ✗
Need to perform complex data transformations during migration
Why it's wrong here
DMS supports transformations; native tools typically do not.
- ✓
Total size of the database and network bandwidth
Why this is correct
Large databases may benefit from native tools' full load speed, but DMS can also handle large volumes.
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Last reviewed: Jul 4, 2026
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