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Data Ingestion and Transformation →hardMultiple ChoiceObjective-mapped

DEA-C01 Data Ingestion and Transformation Practice Question

This DEA-C01 practice question tests your understanding of data ingestion and transformation. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 company uses Amazon Kinesis Data Firehose to deliver streaming data to Amazon S3. The data is in JSON format and each record is about 2 KB. The delivery stream is configured to buffer data for 60 seconds or 5 MB, whichever comes first. The team notices that the S3 objects are very small (around 1 MB) and numerous, causing high costs due to S3 PUT requests. Which configuration change should the team make to reduce the number of S3 objects?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "first"
Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.

A
Enable compression (GZIP) on the delivery stream.
Why wrong: Compression reduces object size but not the number of objects; still many small objects.
B
Increase the buffer size to 50 MB and the buffer interval to 300 seconds.
Larger buffer accumulates more data before writing, resulting in fewer, larger objects.
C
Reduce the buffer interval to 30 seconds and keep buffer size at 5 MB.
Why wrong: Reducing interval creates more frequent, smaller objects, increasing costs.
D
Switch from Kinesis Data Firehose to Amazon Kinesis Data Streams and use a Lambda function to write to S3.
Why wrong: This is a different architecture; still would need batching logic to avoid many small objects.

Full breakdown with real-world context →

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 to 50 MB and the buffer interval to 300 seconds.

Option B is correct because increasing the buffer size to 50 MB and the buffer interval to 300 seconds allows Kinesis Data Firehose to accumulate more data before writing to S3, resulting in fewer, larger objects. The current configuration triggers a write every 60 seconds or when 5 MB is buffered, but since each record is only 2 KB, the 5 MB threshold is rarely met, causing frequent small writes. By raising both thresholds, the delivery stream will buffer more records and write larger objects, reducing the number of S3 PUT requests and associated costs.

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 (GZIP) on the delivery stream.
Why it's wrong here
Compression reduces object size but not the number of objects; still many small objects.
✓
Increase the buffer size to 50 MB and the buffer interval to 300 seconds.
Why this is correct
Larger buffer accumulates more data before writing, resulting in fewer, larger objects.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Reduce the buffer interval to 30 seconds and keep buffer size at 5 MB.
Why it's wrong here
Reducing interval creates more frequent, smaller objects, increasing costs.
✗
Switch from Kinesis Data Firehose to Amazon Kinesis Data Streams and use a Lambda function to write to S3.
Why it's wrong here
This is a different architecture; still would need batching logic to avoid many small objects.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often think reducing the buffer interval or enabling compression will reduce object count, but in reality, compression reduces object size (increasing count) and a shorter interval increases write frequency, both worsening the problem.

Detailed technical explanation

How to think about this question

Kinesis Data Firehose uses a buffer size (in MB) and buffer interval (in seconds) as two independent triggers for flushing data to S3; the first condition met initiates the write. In this scenario, with 2 KB records, the 5 MB buffer size requires approximately 2,560 records to fill, but the 60-second interval likely expires first under typical streaming rates, causing small writes. Increasing both thresholds ensures that the buffer size condition is more likely to be the primary trigger, leading to larger objects (e.g., 50 MB) and fewer PUT requests, which is cost-effective as S3 charges per PUT request.

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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

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

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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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: Increase the buffer size to 50 MB and the buffer interval to 300 seconds. — Option B is correct because increasing the buffer size to 50 MB and the buffer interval to 300 seconds allows Kinesis Data Firehose to accumulate more data before writing to S3, resulting in fewer, larger objects. The current configuration triggers a write every 60 seconds or when 5 MB is buffered, but since each record is only 2 KB, the 5 MB threshold is rarely met, causing frequent small writes. By raising both thresholds, the delivery stream will buffer more records and write larger objects, reducing the number of S3 PUT requests and associated costs.

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: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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