DEA-C01 Data Ingestion and Transformation Practice Question
A company uses Amazon Kinesis Data Firehose to ingest data into an S3 bucket. The data is in JSON format and the team wants to convert it to Parquet before storage. Which TWO configurations are required?
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
✓
Create a Glue table with the schema of the data.
Amazon Kinesis Data Firehose can automatically convert JSON data to Parquet format before delivery to S3. To enable this, you must: (1) Enable data format conversion in the Firehose delivery stream settings and set the output format to Parquet (Option E). (2) Provide a schema for the data, which is done by referencing an AWS Glue table that defines the schema (Option B). Option A is incorrect because Kinesis Data Analytics is not required; Firehose handles conversion natively. Option C (Lambda) is a valid way to transform data but is not required and not listed as a configuration for this purpose. Option D (Athena) is for querying data already in S3, not for conversion during ingestion.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Kinesis Data Analytics to transform data to Parquet.
Why it's wrong here
Not necessary; Firehose can do it.
- ✓
Create a Glue table with the schema of the data.
Why this is correct
Firehose needs a schema for Parquet conversion.
- ✗
Configure a Lambda function to convert data on the fly.
Why it's wrong here
Possible but not required.
- ✗
Set up an Athena table to read the data.
Why it's wrong here
For querying, not conversion.
- ✓
Enable data format conversion in Firehose and set Output format to Parquet.
Why this is correct
Firehose native conversion to Parquet.
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.