DEA-C01 Data Operations and Support Practice Question
A data pipeline uses AWS DMS to replicate data from an on-premises Oracle database to Amazon S3 in Parquet format. The pipeline has been running successfully for months, but recently the DMS task status shows 'failed' with the error: 'The source database is running out of archive log space.' Which action should the engineer take to prevent this error?
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
✓
Increase the amount of archive log space or reduce the log retention period on the source Oracle database.
The error 'source database is running out of archive log space' indicates that the Oracle database's archive log area is full. AWS DMS uses Change Data Capture (CDC) which reads from archive logs to replicate changes. Increasing archive log space or reducing log retention prevents this error. Option A is incorrect because distributing load across multiple S3 buckets does not address source log space. Option C is incorrect because DMS does not manage archiving; it only reads logs. Option D is incorrect because memory on the replication instance does not affect source archive log space.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Configure multiple target S3 buckets to distribute the load.
Why it's wrong here
DMS writes to one target; multiple buckets are not supported.
- ✓
Increase the amount of archive log space or reduce the log retention period on the source Oracle database.
Why this is correct
More space or shorter retention prevents log space exhaustion.
- ✗
Enable automatic log archiving on the DMS replication instance.
Why it's wrong here
DMS does not manage source database logs.
- ✗
Increase the memory allocation for the DMS replication instance.
Why it's wrong here
Memory does not affect source archive log space.
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.