DEA-C01 Data Operations and Support Practice Question
A company uses Amazon Kinesis Data Firehose to deliver streaming data to Amazon S3. The delivery stream is failing with 'Insufficient capacity' errors. Which THREE actions should the data engineer take to resolve this issue? (Choose THREE.)
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 buffer size and buffer interval in the Firehose delivery stream configuration.
Options B, D, and E are correct. B: Increasing buffer size and interval allows Firehose to batch more records before delivery, reducing the rate of PUT requests and alleviating temporary capacity issues. D: Requesting a service quota increase for Kinesis Data Firehose raises the default limits on data delivery throughput, directly addressing insufficient capacity errors caused by throttling. E: Increasing the number of shards in the source Kinesis data stream provides higher write throughput to Firehose, reducing backpressure and 'Insufficient capacity' errors. Option A is incorrect because S3 bucket versioning handles object versioning, not write capacity or Firehose throughput. Option C is incorrect because CloudWatch alarms only monitor and alert, they do not resolve capacity issues.
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 bucket versioning to handle concurrent writes.
Why it's wrong here
Versioning does not affect write capacity.
- ✓
Increase the buffer size and buffer interval in the Firehose delivery stream configuration.
Why this is correct
Larger buffers reduce the frequency of writes, lowering capacity needs.
- ✗
Configure a CloudWatch alarm to monitor the error rate.
Why it's wrong here
Monitoring does not resolve the capacity issue.
- ✓
Request a service quota increase for Kinesis Data Firehose.
Why this is correct
Quota increases allow higher throughput.
- ✓
Increase the number of shards in the source Kinesis data stream.
Why this is correct
More shards increase the write throughput of the stream.
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.