DBS-C01 Workload-Specific Database Design Practice Question
A company is migrating an on-premises Oracle database to Amazon Aurora PostgreSQL. The database contains a large table that is partitioned by date. The company wants to minimize downtime during migration and ensure compatibility. Which TWO actions should the company take?
⚠ Common exam trap
It's easy for candidates to think a full load only is sufficient for minimizing downtime, or that SCT can automatically convert all Oracle features without manual adjustments, but the exam requires understanding that ongoing replication and proper partition conversion are both necessary for a low-downtime, compatible migration.
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 migrate the data.
AWS DMS with ongoing replication (change data capture) allows continuous synchronization from the source Oracle database to the target Aurora PostgreSQL, minimizing downtime by keeping the target nearly up-to-date until the final cutover. This approach supports large partitioned tables and reduces the migration window compared to a full load only.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use AWS Database Migration Service (DMS) with ongoing replication to migrate the data.
Why this is correct
DMS enables minimal downtime by replicating changes continuously.
- ✗
Migrate the database using a full load only and accept downtime.
Why it's wrong here
Full load only does not minimize downtime.
- ✗
Use AWS Schema Conversion Tool (SCT) to convert the schema automatically without any manual adjustments.
Why it's wrong here
SCT may require manual adjustments for complex partitioning.
- ✗
Replace the Oracle database with Amazon RDS for MySQL.
Why it's wrong here
The requirement is to migrate to Aurora PostgreSQL, not MySQL.
- ✓
Convert Oracle partitions to PostgreSQL table inheritance or declarative partitioning.
Why this is correct
PostgreSQL supports partitioning; converting ensures compatibility.
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