DEA-C01 Data Ingestion and Transformation Practice Question
A data pipeline ingests streaming data from thousands of IoT devices into Kinesis Data Streams. The data must be transformed using a simple field mapping before being stored in S3. Which service should be used to perform the transformation with minimal operational overhead?
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
✓
Kinesis Data Firehose with a Lambda transformation
Kinesis Data Firehose can invoke a Lambda function to perform simple field mapping transformations before delivering data to S3, minimizing operational overhead. Option A is wrong because AWS Lambda invoked directly by the Kinesis stream requires custom logic for S3 delivery and stream management, increasing overhead. Option B is wrong because AWS Glue ETL jobs are designed for batch processing and are more complex to set up for streaming transformations. Option C is wrong because Kinesis Data Analytics is used for real-time analytics with SQL or Flink, not simple field mapping transformations.
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 function invoked by the Kinesis stream
Why it's wrong here
Lambda invoked by the stream requires custom code to deliver to S3, increasing complexity.
- ✗
AWS Glue ETL job
Why it's wrong here
Glue ETL is overkill for simple field mapping and adds operational overhead.
- ✗
Kinesis Data Analytics
Why it's wrong here
Kinesis Data Analytics is for real-time analytics, not simple transformations.
- ✓
Kinesis Data Firehose with a Lambda transformation
Why this is correct
Firehose can invoke a Lambda function for simple transformations before delivery.
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.