DEA-C01 Data Ingestion and Transformation Practice Question
A company uses Amazon Kinesis Data Firehose to deliver streaming data to an Amazon S3 bucket. The delivery occasionally fails due to 'ThrottlingException' from S3. What should the team do to resolve this issue without losing data?
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
✓
Increase the Firehose buffer size and buffer interval to reduce the number of S3 PUT requests.
The ThrottlingException from S3 indicates that Kinesis Data Firehose is sending too many PUT requests to S3. Increasing the buffer size or buffer interval causes Firehose to accumulate more records before writing, reducing the number of PUT requests and preventing throttling. Option A (S3 Transfer Acceleration) improves transfer speed, not request rate limits. Option B (disabling error logging) does not reduce API calls and hides issues. Option C (deliver to DynamoDB) is not supported by Kinesis Data Firehose. Therefore, option D is correct.
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 S3 Transfer Acceleration on the destination bucket.
Why it's wrong here
Transfer Acceleration does not help with throttling; it uses edge locations.
- ✗
Disable error logging in Firehose to reduce API calls.
Why it's wrong here
Disabling logging does not prevent throttling and may hide issues.
- ✗
Configure Firehose to deliver data to Amazon DynamoDB instead.
Why it's wrong here
Firehose cannot deliver to DynamoDB natively; the requirement is S3.
- ✓
Increase the Firehose buffer size and buffer interval to reduce the number of S3 PUT requests.
Why this is correct
Larger buffers mean fewer writes, reducing throttling risk.
Visual reference
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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JA
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.