DEA-C01 Data Ingestion and Transformation Practice Question
A company is using Amazon Kinesis Data Firehose to deliver data to an Amazon S3 bucket. The data is delivered in 5-minute intervals. The company wants to reduce the delivery frequency to 1 minute to get data faster. Which parameter should be changed in the Firehose delivery stream configuration?
⚠ Common exam trap
The trap is confusing buffer size with buffer interval; candidates often think increasing buffer size speeds delivery, but only the interval controls the time-based flush, and the exam tests whether you know the two thresholds and their defaults.
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
✓
Reduce the buffer interval from 300 seconds to 60 seconds.
Kinesis Data Firehose buffers incoming records and delivers them when either the buffer size (e.g., 5 MB) or the buffer interval (e.g., 300 seconds) is reached, whichever comes first. Reducing the buffer interval from 300 seconds to 60 seconds makes Firehose flush every minute, directly achieving the 1-minute delivery frequency the company wants.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Reduce the buffer interval from 300 seconds to 60 seconds.
Why this is correct
Firehose buffers incoming records and delivers when either the buffer size or buffer interval is reached. Lowering the interval from 300 to 60 seconds forces delivery every minute, satisfying the requirement for faster one-minute delivery.
- ✗
Increase the buffer size to trigger delivery sooner.
Why it's wrong here
A larger buffer size delays flushing because Firehose waits until the buffer fills or the interval elapses; increasing it works against the goal. It is tempting because buffer settings govern delivery, and raising size would be correct for fewer, larger S3 objects, but the 60-second BufferInterval controls frequency.
- ✗
Enable dynamic partitioning to deliver data more frequently.
Why it's wrong here
Dynamic partitioning changes how incoming records are routed to S3 prefixes by key, not how often the buffer flushes. It is tempting because it improves delivery organisation and query performance, which would be correct for partitioning data by attributes, but the 60-second BufferInterval must be set instead.
- ✗
Enable compression to reduce data size and speed up delivery.
Why it's wrong here
Compression shrinks object size after buffering, so it cannot trigger delivery sooner. It is tempting because smaller payloads transfer faster, which would be correct for reducing storage cost and bandwidth, but delivery timing is governed by the BufferInterval, which must be lowered to 60 seconds.
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 and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Amazon Web Services exam blueprint
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.