DEA-C01 Data Ingestion and Transformation Practice Question
A data engineer is designing a data ingestion pipeline that uses Amazon Kinesis Data Firehose to deliver data to Amazon S3. The engineer wants to ensure that the data is organized in a directory structure by year, month, day, and hour. Which TWO configurations should the engineer set on the Firehose delivery stream? (Choose TWO.)
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
✓
Enable dynamic partitioning
Correct options: A and B. Option A is correct because enabling dynamic partitioning allows Firehose to use partition keys from the data, such as timestamps, to automatically create folder structures in S3. Option B is correct because setting a custom prefix with the expression '!{timestamp:yyyy}/!{timestamp:MM}/!{timestamp:dd}/!{timestamp:HH}/' defines the directory hierarchy by year, month, day, and hour. Option C is incorrect because using a Lambda function to write to S3 with a desired prefix is not necessary; Firehose handles the prefix natively. Option D is incorrect because format conversion to Parquet is unrelated to directory organization. Option E is incorrect because S3 bucket versioning does not affect directory structure.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Enable dynamic partitioning
Why this is correct
Dynamic partitioning allows Firehose to partition data based on keys.
- ✓
Set a custom prefix with '!{timestamp:yyyy}/!{timestamp:MM}/!{timestamp:dd}/!{timestamp:HH}/'
Why this is correct
Custom prefix allows dynamic directory structure based on timestamps.
- ✗
Use an AWS Lambda function to write to S3 with the desired prefix
Why it's wrong here
Lambda transformation is not needed; Firehose can set prefixes directly.
- ✗
Enable format conversion to Parquet
Why it's wrong here
Format conversion does not affect directory structure.
- ✗
Configure an S3 bucket with versioning enabled
Why it's wrong here
Versioning is for object version control, not directory structure.
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
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