DEA-C01 Data Ingestion and Transformation Practice Question
A company ingests streaming data from IoT devices into Amazon Kinesis Data Streams. The data must be transformed in real-time using custom Python code before being stored in Amazon S3. Which AWS service should be used to perform this transformation?
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 enables real-time stream processing with custom Python code via Apache Flink's Python API, making it suitable for complex transformations. Option A (Amazon EMR) is wrong as it requires significant setup and is not a fully managed streaming service. Option B (Amazon Kinesis Data Firehose) is wrong because although it can invoke Lambda for simple transformations, it is limited in complexity and not designed for rich Python custom logic. Option C (AWS Glue) is wrong because it is primarily a batch ETL service and lacks native real-time stream processing capabilities.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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Amazon EMR
Why it's wrong here
EMR can process streaming data but requires more operational overhead and is not the simplest managed solution.
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Amazon Kinesis Data Firehose
Why it's wrong here
Amazon Kinesis Data Firehose is incorrect because it does not natively execute arbitrary custom Python code for real-time data transformation. While Firehose can deliver data from Kinesis Data Streams to S3 and supports basic transformations or Lambda-based record processing, it lacks the capability for direct custom Python code execution within its pipeline. It is tempting as it handles the S3 delivery and is part of the Kinesis suite. Firehose would be the correct choice for simplified, managed delivery of streaming data to S3 with minimal or pre-defined transformations, or when using a Lambda function for transformation.
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AWS Glue
Why it's wrong here
AWS Glue is a batch ETL service, not designed for real-time stream processing.
- ✓
Amazon Kinesis Data Analytics for Apache Flink
Why this is correct
Kinesis Data Analytics for Apache Flink allows running Flink applications that can process streaming data with custom Python code.
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.