DEA-C01 Data Ingestion and Transformation Practice Question
A data engineering team needs to ingest real-time streaming data from thousands of IoT devices and transform the data before storing it in Amazon S3. Which AWS service is most suitable for performing the transformation step in near real-time?
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 Lambda
AWS Lambda can run code in response to Kinesis Data Streams events and perform transformations before writing to S3. Option B is incorrect because Kinesis Data Analytics is for running SQL/Java on streams, not simple transforms. Option C is incorrect because Kinesis Data Firehose is for loading data to destinations with optional simple transformations via Lambda. Option D is incorrect because Amazon S3 is storage, not a transformation service.
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 Lambda
Why this is correct
Lambda can process Kinesis stream records and transform them.
- ✗
Amazon Kinesis Data Analytics
Why it's wrong here
Kinesis Data Analytics is for complex analytics, not simple transforms.
- ✗
Amazon Kinesis Data Firehose
Why it's wrong here
Firehose can transform using Lambda but is not a compute service; Lambda is the transformation engine.
- ✗
Amazon S3
Why it's wrong here
S3 is storage, not a compute service.
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.