- A
The buffer size of 64 MB is too small for the data volume
Why wrong: 64 MB is the default; with high volume, buffer fills quickly, so size is not the issue.
- B
The data is not compressed, causing larger file sizes
Why wrong: Compression is not enabled by default but would only reduce size, not cause delays.
- C
The buffer interval of 300 seconds is too long
Why wrong: Buffer interval is 5 minutes; data volume ensures buffer fills faster, so interval is not the cause.
- D
The S3 bucket is throttling PUT requests due to high throughput
High PUT request rates can cause throttling, leading to retries and increased delivery time.
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 company uses Amazon Kinesis Data Firehose to deliver data to Amazon S3. The Firehose delivery stream has a buffer size of 64 MB and a buffer interval of 300 seconds. The data volume is 1 GB per minute, and the average record size is 1 KB. The data must be delivered to S3 within 5 minutes of ingestion. The engineer notices that some files are being delivered after 10 minutes. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
The S3 bucket is throttling PUT requests due to high throughput
The correct answer is D because Amazon S3 buckets have a default limit of 3,500 PUT requests per second per prefix. With a data volume of 1 GB per minute and an average record size of 1 KB, Firehose generates approximately 1,000,000 records per minute, resulting in roughly 16,667 PUT requests per second (since each 64 MB buffer yields about 65,536 records, and 1 GB/min ÷ 64 MB = ~15.6 buffers per minute, each requiring a PUT). This far exceeds the S3 PUT request limit, causing throttling (HTTP 503 Slow Down errors) and delivery delays beyond the 5-minute target.
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.
- ✗
The buffer size of 64 MB is too small for the data volume
Why it's wrong here
64 MB is the default; with high volume, buffer fills quickly, so size is not the issue.
- ✗
The data is not compressed, causing larger file sizes
Why it's wrong here
Compression is not enabled by default but would only reduce size, not cause delays.
- ✗
The buffer interval of 300 seconds is too long
Why it's wrong here
Buffer interval is 5 minutes; data volume ensures buffer fills faster, so interval is not the cause.
- ✓
The S3 bucket is throttling PUT requests due to high throughput
Why this is correct
High PUT request rates can cause throttling, leading to retries and increased delivery time.
Clue confirmation
The clue word "most likely" 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
The trap here is that candidates often focus on buffer size or interval settings, overlooking the S3 PUT request rate limit, which is a common cause of delivery delays in high-throughput Firehose-to-S3 pipelines.
Detailed technical explanation
How to think about this question
Amazon S3 enforces a PUT/COPY/POST/DELETE request rate of 3,500 per second per prefix, and exceeding this triggers throttling. Firehose delivers data by writing objects to S3 based on buffer size or interval, whichever comes first. With 1 KB records and 64 MB buffer, each buffer contains ~65,536 records, and at 1 GB/min, Firehose attempts ~15.6 PUTs per second, which is well below the limit, but the actual bottleneck is the number of concurrent PUT requests from multiple Firehose workers or partitions, which can spike and exceed the prefix limit, especially if the S3 bucket uses a single prefix.
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.
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
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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: The S3 bucket is throttling PUT requests due to high throughput — The correct answer is D because Amazon S3 buckets have a default limit of 3,500 PUT requests per second per prefix. With a data volume of 1 GB per minute and an average record size of 1 KB, Firehose generates approximately 1,000,000 records per minute, resulting in roughly 16,667 PUT requests per second (since each 64 MB buffer yields about 65,536 records, and 1 GB/min ÷ 64 MB = ~15.6 buffers per minute, each requiring a PUT). This far exceeds the S3 PUT request limit, causing throttling (HTTP 503 Slow Down errors) and delivery delays beyond the 5-minute target.
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: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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