DEA-C01 Data Ingestion and Transformation Practice Question
A company is building a data lake on Amazon S3 and needs to ingest data from multiple sources. The ingestion must be automated and handle schema changes. Which THREE services can be used together to achieve this? (Choose THREE.)
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 Crawler
AWS Glue Crawler (B) automatically discovers and catalogs schemas from data sources. Amazon Kinesis Data Firehose (C) ingests streaming data into S3. AWS Lambda (E) can transform data on the fly. Together, they automate ingestion and handle schema changes. Amazon Redshift (A) is a data warehouse, not a data lake ingestion service. Amazon EMR (D) is a big data processing framework, not primarily for automated schema change handling.
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 Redshift
Why it's wrong here
Redshift is a data warehouse, not an ingestion service for data lakes.
- ✓
AWS Glue Crawler
Why this is correct
Glue Crawler can discover schema and update the Data Catalog.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Firehose can ingest streaming data and deliver to S3.
- ✗
Amazon EMR
Why it's wrong here
EMR is for big data processing, not for automated ingestion.
- ✓
AWS Lambda
Why this is correct
Lambda can transform data on the fly and handle schema changes.
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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JA
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.