DEA-C01 Data Ingestion and Transformation Practice Question
A company uses Amazon Kinesis Data Firehose to deliver streaming data to Amazon S3. The data is in JSON format and needs to be converted to Parquet. However, the conversion is failing. What is the most likely cause?
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
✓
The schema is not defined in the AWS Glue Data Catalog
Kinesis Data Firehose requires a schema to convert to Parquet. This schema can be provided by a Glue Data Catalog table. If the schema is not defined, the conversion fails. Data size is not an issue for conversion. Kinesis Data Streams is not involved here. Lambda transformation can convert to Parquet but is not required.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The data transformation Lambda function is not converting to Parquet
Why it's wrong here
Lambda transformation is optional; Firehose can do conversion natively with a schema.
- ✓
The schema is not defined in the AWS Glue Data Catalog
Why this is correct
Parquet conversion requires a schema; without it, Firehose cannot convert.
- ✗
The data size exceeds the 1 MB limit per record
Why it's wrong here
Firehose can handle large records; the limit is for Kinesis Data Streams.
- ✗
The delivery stream is configured to use Kinesis Data Streams as source
Why it's wrong here
Firehose can use Data Streams as source; that does not prevent Parquet 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.