DEA-C01 Data Ingestion and Transformation Practice Question
A company is ingesting streaming data from IoT devices into Amazon Kinesis Data Streams. The data must be transformed in real-time and then stored in Amazon S3. Which AWS service should be used to perform the transformation?
⚠ Common exam trap
A common mix-up: candidates confuse AWS Glue's batch ETL capabilities with real-time streaming, leading them to select Glue despite its lack of native support for live Kinesis Data Streams processing.
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
Amazon Kinesis Data Analytics (now part of Amazon Managed Service for Apache Flink) is the correct choice because it can consume streaming data from Kinesis Data Streams, apply real-time transformations using SQL or Apache Flink, and then output the transformed data to destinations like Amazon S3. This directly meets the requirement for real-time transformation of streaming IoT data before storage.
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
AWS Glue is primarily a batch ETL service.
- ✗
Amazon EMR
Why it's wrong here
EMR is for big data processing using frameworks like Spark, not real-time stream transformation.
- ✓
Amazon Kinesis Data Analytics
Why this is correct
Kinesis Data Analytics provides real-time stream processing capabilities.
- ✗
Amazon Athena
Why it's wrong here
Athena is a query service for S3, not for real-time transformation.
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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Same concept, more angles
1 more way this is tested on DEA-C01
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. 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?
medium- A.AWS Glue
- ✓ B.Amazon Kinesis Data Analytics for Apache Flink
- C.Amazon EMR
- D.AWS Lambda
Why B: 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.
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.