DEA-C01 Data Ingestion and Transformation Practice Question
A data engineer is designing a data ingestion pipeline for streaming data from IoT devices. The devices send JSON messages every second. The engineer needs to ingest the data with low latency and store it in Amazon S3 in Parquet format. Which TWO services should the engineer use together?
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 Streams
The correct answers are C and E. Amazon Kinesis Data Streams (KDS) provides low-latency, real-time ingestion of streaming data from IoT devices, handling JSON messages sent every second. Amazon Kinesis Data Firehose (KDF) can then consume data from KDS, automatically convert it to Parquet format, and deliver it to Amazon S3. This combination meets the low-latency and Parquet conversion requirements without custom code. Option A (Lambda) could transform data but requires additional management and is not necessary for Parquet conversion as Firehose handles it natively. Option B (Athena) is a query service, not for ingestion. Option D (Glue) is batch-oriented and not suited for low-latency streaming.
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
Why it's wrong here
Lambda could transform but Firehose natively supports Parquet conversion.
- ✗
Amazon Athena
Why it's wrong here
Athena is for querying, not ingestion.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Provides low-latency ingestion.
- ✗
AWS Glue
Why it's wrong here
Glue is batch, not real-time.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Converts to Parquet and delivers to S3.
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.