- A
Use the Kinesis Client Library to process records with checkpointing
Why wrong: KCL requires custom application and is more complex than using Firehose.
- B
Increase the Lambda function's timeout and memory
Why wrong: Transient errors are not resolved by increasing timeout or memory.
- C
Use Kinesis Data Firehose as the delivery stream with Lambda for transformation and configure error handling with retries and a backup S3 bucket
Firehose automatically retries on errors and can send failed records to a backup S3 bucket.
- D
Configure a dead-letter queue (DLQ) on Lambda to capture failed records
Why wrong: A DLQ captures failures but does not retry; data may still be lost if not reprocessed.
Quick Answer
The correct answer is to use Kinesis Data Firehose as the delivery stream with Lambda for transformation and configure error handling with retries and a backup S3 bucket. This approach is correct because Kinesis Data Firehose provides built-in retry logic for Lambda invocation failures, automatically reprocessing failed records up to a configurable interval, and if those retries are exhausted, it can redirect the failed data to a backup S3 bucket—ensuring zero data loss without custom code. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of managed resilience patterns versus custom solutions; a common trap is choosing a Dead Letter Queue (DLQ) alone, which captures failures but lacks automatic retry, or increasing the Lambda timeout, which does not address transient errors. Remember the memory tip: “Firehose fights failures first, then files to a fallback bucket.”
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 engineer is designing a data pipeline that ingests streaming data from Kinesis Data Streams, transforms it using AWS Lambda, and writes to S3. The Lambda function sometimes fails due to transient errors, and the engineer wants to ensure no data is lost. Which approach should be used?
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 the delivery stream with Lambda for transformation and configure error handling with retries and a backup S3 bucket
Option D (Use Kinesis Data Firehose as the delivery stream with Lambda for transformation and configure error handling with retries and a backup S3 bucket) is correct because Firehose provides built-in retry and error handling. Option A (Increase Lambda timeout) does not solve transient errors. Option B (Use a DLQ) helps capture failures but does not automatically retry. Option C (Use Kinesis Client Library) requires more custom code.
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.
- ✗
Use the Kinesis Client Library to process records with checkpointing
Why it's wrong here
KCL requires custom application and is more complex than using Firehose.
- ✗
Increase the Lambda function's timeout and memory
Why it's wrong here
Transient errors are not resolved by increasing timeout or memory.
- ✓
Use Kinesis Data Firehose as the delivery stream with Lambda for transformation and configure error handling with retries and a backup S3 bucket
Why this is correct
Firehose automatically retries on errors and can send failed records to a backup S3 bucket.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Configure a dead-letter queue (DLQ) on Lambda to capture failed records
Why it's wrong here
A DLQ captures failures but does not retry; data may still be lost if not reprocessed.
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 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 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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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: Use Kinesis Data Firehose as the delivery stream with Lambda for transformation and configure error handling with retries and a backup S3 bucket — Option D (Use Kinesis Data Firehose as the delivery stream with Lambda for transformation and configure error handling with retries and a backup S3 bucket) is correct because Firehose provides built-in retry and error handling. Option A (Increase Lambda timeout) does not solve transient errors. Option B (Use a DLQ) helps capture failures but does not automatically retry. Option C (Use Kinesis Client Library) requires more custom code.
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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