The answer is to increase the buffer size and buffer interval. This directly addresses Firehose throttling because throttling occurs when the rate of incoming data exceeds the buffer’s capacity to hold records before writing to Amazon S3. By enlarging the buffer size or extending the buffer interval, Kinesis Data Firehose accumulates more records per PutRecordBatch call, reducing the frequency of writes and preventing the service from hitting its throughput limits. On the AWS Certified Data Engineer Associate DEA-C01 exam, this concept tests your understanding of how Firehose’s internal buffering mechanics interact with downstream write throttling—a common trap is to mistakenly scale the source producer or increase shard count, but the root cause here is the buffer configuration itself. A helpful memory tip: think of the buffer as a bucket—if you keep filling a small bucket too fast, it overflows; a bigger bucket or slower pour prevents the spill.
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A data pipeline uses Amazon Kinesis Data Firehose to deliver data to Amazon S3. The delivery occasionally fails with 'Firehose is throttled'. What should be done to reduce throttling?
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
Throttling occurs when the write rate exceeds the buffer limit. Increasing the buffer size or interval allows Firehose to accumulate more records before writing, reducing the number of PutRecordBatch calls.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 compression on the Firehose delivery stream
Why it's wrong here
Compression reduces storage but does not affect throttling.
✓
Increase the buffer size and buffer interval
Why this is correct
Larger buffer reduces the number of write requests.
Related concept
Read the scenario before looking for a memorised answer.
✗
Decrease the buffer size to flush more frequently
Why it's wrong here
Smaller buffer increases calls, making throttling worse.
✗
Increase the number of shards in the Kinesis stream
Why it's wrong here
Firehose does not use shards; this applies to Kinesis Data Streams.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Increase the buffer size and buffer interval — Throttling occurs when the write rate exceeds the buffer limit. Increasing the buffer size or interval allows Firehose to accumulate more records before writing, reducing the number of PutRecordBatch calls.
What should I do if I get this DEA-C01 question wrong?
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A data pipeline uses Amazon Kinesis Data Firehose to deliver data to an S3 bucket. The delivery stream is configured with a buffer interval of 60 seconds and a buffer size of 5 MB. The data arrives at an average rate of 2 MB per second. What is the expected time interval between S3 writes?
hard
✓ A.Approximately 2.5 seconds
B.Approximately 30 seconds
C.Approximately 60 seconds
D.Approximately 10 seconds
Why A: Option A is correct because with 2 MB/s, the buffer size of 5 MB will be reached in 2.5 seconds, but the buffer interval is 60 seconds. Firehose writes when either condition is met first. Since the buffer size is reached much earlier, writes will occur approximately every 2.5 seconds. Option B, C, D are incorrect because they are based on the interval or miscalculations.
Last reviewed: Jun 20, 2026
Question Discussion
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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.
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