DEA-C01 Data Ingestion and Transformation Practice Question
A data engineer is designing a data ingestion pipeline for IoT sensor data. The sensors send JSON messages every second. The data must be available in Amazon S3 within 5 minutes and must be transformed (JSON to Parquet) before storage. Which combination of services meets these requirements?
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 Firehose with data transformation and Parquet conversion
Amazon Kinesis Data Firehose can ingest streaming data, apply a transformation (e.g., convert JSON to Parquet), and deliver the transformed data to Amazon S3 with a buffer interval of up to 60 seconds, easily meeting the 5-minute latency requirement. Option A is incorrect because AWS Glue streaming ETL adds complexity and is not necessary for simple JSON-to-Parquet conversion; Kinesis Data Firehose handles this natively. Option C is incorrect because Kinesis Data Analytics is designed for real-time analytics and does not directly output to S3 in a transformed format without additional components. Option D is incorrect because S3 Event Notifications to Lambda would incur impractically high invocation costs and latency for per-second sensor data, and transforming on write to S3 would exceed the 5-minute window.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon Kinesis Data Streams with AWS Glue streaming ETL
Why it's wrong here
Glue streaming ETL can work but adds complexity and cost.
- ✓
Amazon Kinesis Data Firehose with data transformation and Parquet conversion
Why this is correct
Firehose can transform and convert to Parquet before delivery.
- ✗
Amazon Kinesis Data Analytics with output to S3
Why it's wrong here
Analytics outputs to a stream, not directly to S3.
- ✗
Amazon S3 with S3 Event Notifications to AWS Lambda for transformation
Why it's wrong here
Event-driven transformation may not meet 5-minute SLA.
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.