DEA-C01 Data Operations and Support Practice Question
A company uses AWS DMS to migrate data from an on-premises Oracle database to Amazon Aurora MySQL. After the migration, the data in Aurora is inconsistent with the source. The engineer needs to ensure ongoing replication with minimal downtime. Which solution should the engineer implement?
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
✓
Configure a DMS task with change data capture (CDC)
Configuring a DMS task with Change Data Capture (CDC) enables ongoing replication of changes from the source Oracle database to the target Aurora MySQL database with minimal downtime, ensuring consistency. Option A is incorrect because AWS Schema Conversion Tool (SCT) only converts schema and does not handle data replication. Option B is incorrect because mysqldump provides a one-time export/import, not ongoing replication. Option D is incorrect because performing a full load migration again would disrupt operations and would not capture ongoing changes.
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 Schema Conversion Tool (SCT) to convert the schema
Why it's wrong here
SCT converts schema objects and stored code between engines; it moves no row data and performs no replication. It is tempting because the Oracle-to-MySQL engine difference genuinely needs schema conversion, but that is a separate prerequisite. Fixing data inconsistency with ongoing replication requires AWS DMS CDC, not schema translation.
- ✗
Export the data from Oracle and import into Aurora using mysqldump
Why it's wrong here
mysqldump performs a one-off logical export and import, capturing no ongoing changes from Oracle, so Aurora would drift again immediately. It is tempting as a familiar bulk-copy tool for seeding MySQL-compatible targets, but it cannot maintain continuous replication, which requires AWS DMS change data capture from the source redo logs.
- ✓
Configure a DMS task with change data capture (CDC)
Why this is correct
Change data capture reads the source Oracle redo logs continuously, replicating only committed inserts, updates and deletes to Aurora MySQL after the initial full load. This satisfies the ongoing replication requirement with minimal downtime, since no bulk re-copy or application outage is needed to keep the target consistent.
- ✗
Perform a full load migration again
Why it's wrong here
A fresh full load copies the current Oracle data once but establishes no continuous change capture, so inconsistency recurs as soon as the source is updated. It is tempting because it directly addresses the observed mismatch, yet minimal-downtime ongoing replication demands AWS DMS CDC tasks reading Oracle redo/archive logs, not another one-time bulk transfer.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DEA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DEA-C01 exam.