DEA-C01 Data Ingestion and Transformation Practice Question
A company is streaming IoT data from thousands of devices into Amazon Kinesis Data Streams. The data must be transformed in real time before being stored in Amazon S3. Which service should be used to perform the transformation as the data streams through Kinesis?
⚠ Common exam trap
It's easy for candidates to choose AWS Lambda because it is a familiar serverless option for event-driven processing, but they overlook its limitations in execution time, payload size, and lack of native state management for complex transformations, which makes Kinesis Data Analytics for Apache Flink the more robust and scalable choice for continuous streaming ETL.
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 Kinesis Data Analytics for Apache Flink
Amazon Kinesis Data Analytics for Apache Flink is the correct choice because it is purpose-built for running Apache Flink applications that can perform real-time transformations, filtering, and enrichment on data streaming through Kinesis Data Streams before outputting the results to destinations like Amazon S3. It integrates natively with Kinesis Data Streams as a source and can write transformed data directly to S3 using a Flink sink, making it ideal for this streaming ETL use case.
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 it's wrong here
Glue is primarily for batch ETL, not real-time streaming.
- ✓
Amazon Kinesis Data Analytics for Apache Flink
Why this is correct
Correctly processes streaming data in real time with Flink.
- ✗
Amazon EMR
Why it's wrong here
EMR can process streaming data but adds operational overhead and latency.
- ✗
AWS Lambda
Why it's wrong here
Lambda can process records from Kinesis but is stateless and limited in duration.
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.