DBS-C01 Workload-Specific Database Design Practice Question
A company is migrating a large Oracle database to Amazon Aurora PostgreSQL. They need to minimize downtime and validate data consistency after migration. Which THREE steps should they include in their migration plan? (Choose THREE.)
⚠ Common exam trap
It's easy for candidates to confuse read replicas (Option A) as a migration tool, or mistakenly think a homogeneous migration (Option B) applies to cross-engine migrations, when in fact heterogeneous migrations require schema conversion and DMS for data transfer.
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 Database Migration Service (DMS) with ongoing replication to keep the target in sync.
AWS DMS supports ongoing replication (change data capture) from Oracle to Aurora PostgreSQL, allowing the target database to stay synchronized with the source during the migration. This minimizes downtime by enabling a cutover after the initial load, rather than requiring a full outage for the entire 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.
- ✗
Create multiple Aurora Replicas for read scaling during migration.
Why it's wrong here
Replicas are for performance, not migration process.
- ✗
Perform a homogeneous migration directly from Oracle to Aurora.
Why it's wrong here
Oracle to PostgreSQL is heterogeneous.
- ✓
Use AWS Database Migration Service (DMS) with ongoing replication to keep the target in sync.
Why this is correct
Ongoing replication reduces downtime.
- ✓
Use AWS DMS data validation to compare source and target data.
Why this is correct
Data validation ensures consistency.
- ✓
Use AWS Schema Conversion Tool (SCT) to convert the Oracle schema to PostgreSQL.
Why this is correct
SCT is needed for heterogeneous migration.
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