- A
Increase the number of shards in the Kinesis Data Stream to reduce the load on the application.
Why wrong: Increasing shards in the Kinesis Data Stream does not affect the Firehose call rate; it only affects the data stream throughput.
- B
Modify the application to use PutRecordBatch with smaller batch sizes to stay within the 4 MB per-call limit.
Why wrong: This makes the problem worse because smaller batches mean more API calls per second, increasing the likelihood of exceeding the transaction limit.
- C
Reduce the buffer interval of the delivery stream to 30 seconds to flush data more frequently.
Why wrong: Reducing the buffer interval to 30 seconds causes more frequent flushes, increasing the number of calls and potentially worsening the error.
- D
Increase the buffer size of the delivery stream to 10 MB to accommodate larger writes.
Correct. A larger buffer size allows the delivery stream to accept larger batches, reducing the number of PutRecordBatch calls and keeping the call rate below the limit.
DEA-C01 Kinesis Data Firehose API Call Rate Limit Practice Question
This DEA-C01 practice question tests your understanding of data operations and support. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. A key principle to apply: kinesis Data Firehose API Call Rate Limit. 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.
Your team uses Amazon Kinesis Data Analytics to process real-time streaming data from an Amazon Kinesis Data Stream. The application calculates windowed aggregations and writes results to an Amazon S3 bucket using a delivery stream. Recently, the application has been failing with a 'LimitExceededException' when writing to the delivery stream. You have checked the CloudWatch metrics and see that the IncomingBytes and IncomingRecords for the delivery stream are well below the provisioned limits. The delivery stream has a buffer size of 5 MB and a buffer interval of 60 seconds. The application generates about 500 records per second, each about 1 KB. What is the most likely cause and correct action?
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
Increase the buffer size of the delivery stream to 10 MB to accommodate larger writes.
Option D is correct. The LimitExceededException in Kinesis Data Firehose typically occurs when the rate of API calls exceeds the transaction limit (5,000 calls per second per delivery stream). With 500 records per second, using PutRecord would exceed this limit because each call sends a single record. Even with PutRecordBatch, if batch sizes are small, the call rate remains high. Increasing the buffer size to 10 MB allows the application to batch more records per call, reducing the number of calls and staying under the transaction limit. Option B is incorrect because reducing batch sizes increases the call rate, worsening the problem.
Key principle: Kinesis Data Firehose API Call Rate Limit
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the number of shards in the Kinesis Data Stream to reduce the load on the application.
Why it's wrong here
Increasing shards in the Kinesis Data Stream does not affect the Firehose call rate; it only affects the data stream throughput.
- ✗
Modify the application to use PutRecordBatch with smaller batch sizes to stay within the 4 MB per-call limit.
Why it's wrong here
This makes the problem worse because smaller batches mean more API calls per second, increasing the likelihood of exceeding the transaction limit.
- ✗
Reduce the buffer interval of the delivery stream to 30 seconds to flush data more frequently.
Why it's wrong here
Reducing the buffer interval to 30 seconds causes more frequent flushes, increasing the number of calls and potentially worsening the error.
- ✓
Increase the buffer size of the delivery stream to 10 MB to accommodate larger writes.
Why this is correct
Correct. A larger buffer size allows the delivery stream to accept larger batches, reducing the number of PutRecordBatch calls and keeping the call rate below the limit.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Kinesis Data Firehose API Call Rate Limit
Common exam traps
Common exam trap: answer the scenario, not the keyword
Candidates often confuse throughput limits (bytes/records) with transaction limits (calls/sec). Here, throughput is low, but the error is due to excessive API calls.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Kinesis Data Firehose API Call Rate Limit
- Batch Size Optimization
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
Kinesis Data Firehose API Call Rate Limit
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
Got this wrong? Here's your next step.
Review kinesis Data Firehose API Call Rate Limit, then practise related DEA-C01 questions on the same topic to reinforce the concept.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Operations and Support — This question tests Data Operations and Support — Kinesis Data Firehose API Call Rate Limit.
What is the correct answer to this question?
The correct answer is: Increase the buffer size of the delivery stream to 10 MB to accommodate larger writes. — Option D is correct. The LimitExceededException in Kinesis Data Firehose typically occurs when the rate of API calls exceeds the transaction limit (5,000 calls per second per delivery stream). With 500 records per second, using PutRecord would exceed this limit because each call sends a single record. Even with PutRecordBatch, if batch sizes are small, the call rate remains high. Increasing the buffer size to 10 MB allows the application to batch more records per call, reducing the number of calls and staying under the transaction limit. Option B is incorrect because reducing batch sizes increases the call rate, worsening the problem.
What should I do if I get this DEA-C01 question wrong?
Review kinesis Data Firehose API Call Rate Limit, then practise related DEA-C01 questions on the same topic to reinforce the concept.
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?
Kinesis Data Firehose API Call Rate Limit
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Last reviewed: Jun 20, 2026
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