DEA-C01 Data Ingestion and Transformation Practice Question
A company is using Amazon Kinesis Data Firehose to ingest data into Amazon S3. The data must be transformed from JSON to Parquet format before delivery. Which feature should be enabled on the Firehose delivery stream?
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
✓
Format conversion (Parquet/ORC)
Amazon Kinesis Data Firehose has a built-in format conversion feature that can automatically convert input data from JSON to Parquet or ORC format before delivery to Amazon S3. Option A (Amazon Kinesis Data Analytics) is for real-time stream processing, not format conversion within Firehose. Option B (Amazon S3 event notifications) triggers notifications on S3 events, not data transformation. Option D (AWS Lambda transformation) allows custom code for data transformation but is not specifically for converting JSON to Parquet; the built-in format conversion is the appropriate feature for this task.
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 Analytics
Why it's wrong here
Data Analytics is for stream processing, not format conversion in Firehose.
- ✗
Amazon S3 event notifications
Why it's wrong here
Event notifications are for triggering actions, not format conversion.
- ✓
Format conversion (Parquet/ORC)
Why this is correct
Firehose natively supports converting JSON to Parquet or ORC.
- ✗
AWS Lambda transformation
Why it's wrong here
Lambda can transform data but not directly convert to Parquet without custom code; Firehose has built-in conversion.
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.