DEA-C01 Data Ingestion and Transformation Practice Question
A company uses AWS Glue to run ETL jobs daily. The jobs consume data from an Amazon RDS for MySQL database and write results to Amazon S3. The company wants to minimize the impact on the source database during extraction. Which THREE actions should the data engineer take to achieve this? (Choose THREE.)
⚠ Common exam trap
A common mix-up: candidates assume increasing DPUs (parallelism) always improves performance without realizing it can amplify the load on the source database, and they may overlook that disabling bookmarks forces full refreshes, which is the opposite of minimizing impact.
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
✓
Schedule the Glue job to run during off-peak hours.
Scheduling the Glue job to run during off-peak hours minimizes the load on the source RDS for MySQL database by avoiding high-traffic periods, reducing contention for CPU, memory, and I/O resources. This is a straightforward operational practice to reduce impact on production databases during extraction.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Schedule the Glue job to run during off-peak hours.
Why this is correct
Runs when database load is naturally low.
- ✓
Configure the Glue job to connect to a read replica of the RDS instance.
Why this is correct
Offloads read queries to a replica, reducing load on the primary.
- ✗
Increase the number of Glue DPUs to process data faster.
Why it's wrong here
More DPUs may increase parallel connections, potentially increasing database load.
- ✗
Disable Glue job bookmarks to force full refresh.
Why it's wrong here
Full refresh increases data extraction and load.
- ✓
Use a JDBC connection with a WHERE clause to extract only incremental data.
Why this is correct
Reduces the amount of data extracted, thus reducing load.
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.