- A
Enable GZIP compression on the Firehose delivery stream.
Why wrong: Compression adds CPU overhead and may increase latency.
- B
Increase the buffer size to 128 MB to accommodate larger batches.
Why wrong: Larger buffer size increases latency as it waits to fill.
- C
Switch to Kinesis Data Streams with a Lambda consumer.
Why wrong: This changes architecture but does not directly reduce Firehose latency.
- D
Reduce the buffer interval to 60 seconds.
This forces delivery every 60 seconds, meeting the latency requirement.
Quick Answer
The answer is to reduce the buffer interval to 60 seconds. This directly caps delivery latency because Kinesis Data Firehose triggers a delivery to S3 whenever either the buffer size or the buffer interval threshold is met first; by setting the interval to 60 seconds, you guarantee data is flushed at most every 60 seconds, even during volume spikes when the buffer size hasn't filled. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your understanding of Firehose’s dual-buffer trigger mechanism and the trade-off between latency and cost—common traps include mistakenly increasing buffer size or reducing the interval below 60 seconds, which can cause excessive small files and higher S3 costs. A simple memory tip: “Interval caps the clock, size caps the load”—to minimize latency, always adjust the interval first.
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 Kinesis Data Firehose to deliver streaming data to an S3 bucket. The data volume spikes occasionally, causing the Firehose buffer to fill up and leading to increased delivery latency. The latency must remain under 60 seconds. What should be done to minimize latency?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"minimum / minimize"Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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 to 60 seconds.
Reducing the buffer interval to 60 seconds ensures that Firehose delivers data to S3 at most every 60 seconds, directly capping latency even if the buffer size is not full. This aligns with the requirement to keep latency under 60 seconds, as Firehose delivers data when either the buffer interval or buffer size threshold is met first.
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 GZIP compression on the Firehose delivery stream.
Why it's wrong here
Compression adds CPU overhead and may increase latency.
- ✗
Increase the buffer size to 128 MB to accommodate larger batches.
Why it's wrong here
Larger buffer size increases latency as it waits to fill.
- ✗
Switch to Kinesis Data Streams with a Lambda consumer.
Why it's wrong here
This changes architecture but does not directly reduce Firehose latency.
- ✓
Reduce the buffer interval to 60 seconds.
Why this is correct
This forces delivery every 60 seconds, meeting the latency requirement.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
AWS often tests the misconception that increasing buffer size or enabling compression reduces latency, when in fact these options increase latency by allowing more data to accumulate before delivery.
Detailed technical explanation
How to think about this question
Kinesis Data Firehose uses two independent triggers for delivery: a buffer size (default 5 MB, up to 128 MB) and a buffer interval (default 300 seconds, minimum 60 seconds). The service delivers data when either condition is met, so setting the buffer interval to 60 seconds forces a flush at least every 60 seconds, ensuring latency is bounded. In real-world scenarios with sporadic spikes, this approach prevents prolonged buffering while still allowing batching for efficiency.
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.
TExam Day Tips
- 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Data Ingestion and Transformation — study guide chapter
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
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: Reduce the buffer interval to 60 seconds. — Reducing the buffer interval to 60 seconds ensures that Firehose delivers data to S3 at most every 60 seconds, directly capping latency even if the buffer size is not full. This aligns with the requirement to keep latency under 60 seconds, as Firehose delivers data when either the buffer interval or buffer size threshold is met first.
What should I do if I get this DEA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
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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