DEA-C01 Data Ingestion and Transformation Practice Question
A company is migrating a legacy on-premises ETL pipeline to AWS. The pipeline processes daily batch files from an FTP server. The data must be transformed using complex business logic before being loaded into Amazon Redshift. Which THREE AWS services should be used for this migration?
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
✓
Amazon Redshift
(Amazon Redshift) is correct as the target data warehouse for loading transformed data. Option C (AWS Glue) is correct because it can handle complex business transformations using PySpark or Python. Option E (AWS Transfer Family) is correct for replacing the FTP server and ingesting daily batch files securely into Amazon S3, which can then be processed by Glue. Option A (Amazon Athena) is incorrect because Athena is a query service, not an ETL tool for complex transformations. Option D (Amazon Kinesis Data Streams) is incorrect because it is designed for real-time streaming data, not batch file processing from FTP.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon Athena
Why it's wrong here
Athena is for querying, not ETL.
- ✓
Amazon Redshift
Why this is correct
Redshift is the target data warehouse.
- ✓
AWS Glue
Why this is correct
Glue can perform complex transformations.
- ✗
Amazon Kinesis Data Streams
Why it's wrong here
Kinesis Data Streams is for streaming, not batch files.
- ✓
AWS Transfer Family
Why this is correct
Transfer Family can ingest files from FTP servers.
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.