- A
Implement custom retry logic using the Kinesis Client Library with exponential backoff
Why wrong: This requires custom code and is more complex than using Firehose.
- B
Increase the number of shards to handle peak throughput
Why wrong: This is costly and may not be necessary for sporadic spikes.
- C
Use Kinesis Data Firehose as a consumer with retries and buffer settings
Firehose can buffer data and retry, handling spikes with minimal code changes.
- D
Send data to an SQS queue first, then have a Lambda function write to Kinesis
Why wrong: This adds latency, cost, and complexity without clear benefit.
Quick Answer
The answer is to use Kinesis Data Firehose as a consumer with retries and buffer settings. This approach is most cost-effective because Firehose acts as a managed buffer that automatically retries failed writes during throughput spikes, absorbing the ProvisionedThroughputExceeded exceptions without requiring manual shard scaling or custom code. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of how to handle Kinesis throughput exceeded handling using fully managed services versus custom implementations; a common trap is choosing to increase shard count, which incurs ongoing costs and manual effort, or implementing exponential backoff in the Kinesis Client Library, which still requires code maintenance. Firehose’s built-in buffering and retry logic directly address the need to handle spikes without data loss while minimizing operational overhead. Remember the memory tip: “Firehose buffers the burst, so your shards don’t thirst.”
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 Kinesis Data Streams to ingest IoT data. The data volume varies, and occasionally the shard write throughput is exceeded, causing ProvisionedThroughputExceeded exceptions. The data engineer needs to handle these spikes without losing data. Which approach is most cost-effective and requires minimal code changes?
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
Use Kinesis Data Firehose as a consumer with retries and buffer settings
Option B (Use Kinesis Data Firehose as a consumer with retries and buffer settings) is correct because Firehose can buffer data and retry on failures, handling spikes. Option A (Increase shard count) is costly and requires manual scaling. Option C (Use Kinesis Client Library with exponential backoff) is a good practice but still requires custom code; Firehose is more managed. Option D (Send data to SQS and then to Kinesis) adds complexity and cost.
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.
- ✗
Implement custom retry logic using the Kinesis Client Library with exponential backoff
Why it's wrong here
This requires custom code and is more complex than using Firehose.
- ✗
Increase the number of shards to handle peak throughput
Why it's wrong here
This is costly and may not be necessary for sporadic spikes.
- ✓
Use Kinesis Data Firehose as a consumer with retries and buffer settings
Why this is correct
Firehose can buffer data and retry, handling spikes with minimal code changes.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Send data to an SQS queue first, then have a Lambda function write to Kinesis
Why it's wrong here
This adds latency, cost, and complexity without clear benefit.
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 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.
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.
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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: Use Kinesis Data Firehose as a consumer with retries and buffer settings — Option B (Use Kinesis Data Firehose as a consumer with retries and buffer settings) is correct because Firehose can buffer data and retry on failures, handling spikes. Option A (Increase shard count) is costly and requires manual scaling. Option C (Use Kinesis Client Library with exponential backoff) is a good practice but still requires custom code; Firehose is more managed. Option D (Send data to SQS and then to Kinesis) adds complexity and cost.
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.
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Last reviewed: Jun 20, 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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