DBS-C01 Deployment and Migration Practice Question
A company is migrating a 200 GB Oracle database to Amazon Aurora MySQL. They want to minimize downtime and ensure data consistency. Which two services should they use together? (Choose TWO.)
⚠ Common exam trap
Many candidates assume AWS DMS alone can handle heterogeneous migrations, forgetting that SCT is mandatory for schema conversion when moving from Oracle to Aurora MySQL, as DMS only handles data movement and cannot convert incompatible database objects.
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
✓
AWS Schema Conversion Tool (SCT)
AWS Schema Conversion Tool (SCT) is required to convert the Oracle database schema (including stored procedures, functions, and data types) to a format compatible with Amazon Aurora MySQL. AWS Database Migration Service (DMS) then performs the continuous data replication from Oracle to Aurora MySQL, enabling near-zero downtime migration while maintaining data consistency through Change Data Capture (CDC).
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS Snowball Edge
Why it's wrong here
Snowball is for offline transfer, which would cause downtime during data loading.
- ✓
AWS Schema Conversion Tool (SCT)
Why this is correct
SCT converts Oracle schema to Aurora MySQL.
- ✓
AWS Database Migration Service (DMS)
Why this is correct
DMS handles data migration with ongoing replication.
- ✗
AWS Data Pipeline
Why it's wrong here
Data Pipeline is for workflow scheduling, not direct migration.
- ✗
Amazon EC2 with Oracle installed
Why it's wrong here
EC2 is not a service for migration; it would be an intermediate step.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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