DEA-C01 Data Ingestion and Transformation Practice Question
A data engineer is implementing a CDC (Change Data Capture) pipeline from a relational database to Amazon S3 using AWS Database Migration Service (DMS). Which TWO configurations are required for continuous replication?
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
✓
Enable binary logging on the source database.
For continuous CDC replication with AWS DMS, two key configurations are required: enabling binary logging on the source database (option B) and selecting both 'Full load' and 'Ongoing replication' in the DMS task (option D). Binary logging (e.g., binlog for MySQL) captures ongoing changes, while enabling both full load and ongoing replication ensures that the initial data load is completed before continuous change capture begins. Option A (transformation rules) is optional, not required. Option C (VPC endpoint) is not necessary because DMS can connect to the source database over the internet, VPN, or VPC peering without a VPC endpoint. Option E (pre-creating the target table in S3) is not needed because DMS can create the target table automatically or you can let DMS handle the schema.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Define transformation rules in the DMS task.
Why it's wrong here
Transformation rules are optional.
- ✓
Enable binary logging on the source database.
Why this is correct
Binary logs are needed to capture changes for CDC.
- ✗
Configure a VPC endpoint for DMS.
Why it's wrong here
Not required for DMS to connect to source.
- ✓
Enable 'Full load' and 'Ongoing replication' in the task.
Why this is correct
Full load captures initial data, ongoing replication captures changes.
- ✗
Pre-create the target table in S3.
Why it's wrong here
DMS can create the table automatically.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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