DEA-C01 Data Operations and Support Practice Question
A data engineer needs to move data from an Amazon S3 bucket to an Amazon Redshift cluster on a daily schedule. The data is in CSV format and the target table already exists. Which AWS service should the engineer use to automate this task?
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
✓
AWS Glue
AWS Glue is the correct choice because it provides managed ETL (extract, transform, load) capabilities and can be scheduled to run daily. Glue jobs can directly read CSV files from S3 and write to a Redshift table that already exists. Option A (correct) accurately identifies AWS Glue for this automated data movement task. Option B (Amazon Athena) is wrong because Athena is an interactive query service, not an ETL scheduler; it cannot autonomously move data on a schedule. Option C (Amazon EMR) is wrong because while EMR can handle such tasks, it requires provisioning a cluster, managing lifecycle, and more configuration than needed for a simple daily copy—Glue is simpler and more cost-effective for this use case. Option D (Amazon Kinesis Data Analytics) is wrong because it is designed for processing streaming data in real time, not for batch copying of CSV files.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
AWS Glue
Why this is correct
Glue provides job scheduling and ETL capabilities.
- ✗
Amazon Athena
Why it's wrong here
Athena is for querying data, not for scheduling ETL.
- ✗
Amazon EMR
Why it's wrong here
EMR is a big data framework; overkill for simple scheduled copy.
- ✗
Amazon Kinesis Data Analytics
Why it's wrong here
Kinesis Data Analytics is for real-time streaming.
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
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.