DEA-C01 Data Operations and Support Practice Question
A data engineer is designing a solution to move data from an on-premises Oracle database to Amazon S3 using AWS DMS. The engineer needs to ensure that data changes are replicated continuously with minimal latency. Which DMS configuration is most appropriate?
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 a full-load task with ongoing replication (CDC)
DMS with continuous replication (CDC) captures ongoing changes with low latency. Option A is wrong because AWS SCT is used for schema conversion, not data movement; DMS with full load only does an initial copy. Option C is wrong because a daily full-load task does not provide continuous replication or low latency. Option D is wrong because it describes Kinesis Data Streams, which is not a DMS configuration—DMS itself supports CDC to S3.
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 SCT to convert the schema and then use DMS for full load
Why it's wrong here
Schema conversion via AWS SCT plus a full load migrates structure and existing rows once, then stops; no ongoing change data capture occurs. It is tempting because SCT is genuinely needed when converting heterogeneous schemas such as Oracle to another engine, but here the target is S3 and the requirement is continuous change replication.
- ✓
Use a full-load task with ongoing replication (CDC)
Why this is correct
Full load plus ongoing replication (CDC) migrates existing rows and then continuously applies change data capture records from the Oracle redo logs, keeping S3 synchronised with minimal latency. A full-load-only task would leave subsequent changes unreplicated.
- ✗
Use a full-load task that runs daily
Why it's wrong here
A daily full-load task re-copies the entire table each run, so changes between runs are invisible and latency is measured in hours. It is tempting because full load is the simplest DMS task type, and it would suit a one-off migration or a nightly batch refresh where continuous replication is not required.
- ✗
Use Kinesis Data Streams to capture changes and write to S3
Why it's wrong here
Kinesis Data Streams is a streaming ingestion service with no native Oracle change-data-capture connector; replicating Oracle changes would require custom CDC tooling feeding the stream. It is tempting because Kinesis delivers low-latency streaming into S3, but DMS itself provides the Oracle CDC mechanism the scenario requires.
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 |
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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.