The correct answer is to increase the Lambda function timeout and ensure that failed records are sent to a backup S3 bucket. This works because Kinesis Firehose automatically retries transformation failures when a Lambda timeout occurs, and configuring a backup S3 bucket provides a safety net for any records that exhaust all retry attempts, preventing data loss. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of Firehose’s built-in error handling versus external services—a common trap is assuming Lambda stores data or that CloudWatch Logs can recover lost records, but Firehose manages failed records internally. Remember the key principle: Firehose owns the retry logic and the backup destination, not the Lambda function. A useful memory tip is “Firehose fails forward, Lambda just times out”—meaning Firehose handles the fallback, while Lambda’s only job is to process within its configured timeout.
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 company uses Amazon Kinesis Data Firehose to deliver data to Amazon S3. The data is transformed using an AWS Lambda function. Recently, the transformation errors have increased due to Lambda timeouts. The data engineer needs to diagnose and resolve the issue without losing data. What should the engineer do?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Increase the Lambda function timeout and ensure that failed records are sent to a backup S3 bucket
Option A is correct because increasing the Lambda timeout gives the function more time to complete, and Kinesis Firehose retries failures; data is not lost if the Lambda fails because Firehose can retry or send failed records to a backup S3 bucket. Option B is wrong because Lambda never stores data. Option C is wrong because CloudWatch Logs captures logs but does not store failed records. Option D is wrong because Lambda cannot write to SQS directly from Firehose transformation; Firehose handles failed records internally.
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.
✓
Increase the Lambda function timeout and ensure that failed records are sent to a backup S3 bucket
Why this is correct
Increasing timeout reduces failures, and configuring a backup bucket prevents data loss.
Related concept
Read the scenario before looking for a memorised answer.
✗
Enable Amazon CloudWatch Logs for the Lambda function to capture errors and store failed records in CloudWatch
Why it's wrong here
CloudWatch Logs captures logs but is not designed for storing failed records.
✗
Configure the Lambda function to write failed records to an Amazon SQS queue for later reprocessing
Why it's wrong here
Lambda transformation in Firehose cannot directly write to SQS; Firehose manages failure handling.
✗
Modify the Lambda function to store failed records in Amazon S3 before processing
Why it's wrong here
Lambda does not store data; Firehose manages the flow.
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.
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 Lambda function timeout and ensure that failed records are sent to a backup S3 bucket — Option A is correct because increasing the Lambda timeout gives the function more time to complete, and Kinesis Firehose retries failures; data is not lost if the Lambda fails because Firehose can retry or send failed records to a backup S3 bucket. Option B is wrong because Lambda never stores data. Option C is wrong because CloudWatch Logs captures logs but does not store failed records. Option D is wrong because Lambda cannot write to SQS directly from Firehose transformation; Firehose handles failed records internally.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company uses Amazon Kinesis Data Firehose to deliver data to Amazon S3. The data is transformed using an AWS Lambda function. Some records fail transformation and are lost because the Lambda function throws an exception. The data engineer needs to capture the failed records for analysis without affecting the pipeline. What should the engineer do?
hard
✓ A.Configure the Firehose delivery stream to send failed records to a backup S3 bucket
B.Increase the buffer size of the Firehose stream
C.Disable the Lambda transformation and process all records in batch later
D.Modify the Lambda function to write failed records to Amazon DynamoDB
Why A: Option B is correct because configuring a backup S3 bucket for failed records captures them without stopping the pipeline. Option A is wrong because storing in DynamoDB adds complexity and is not a native Firehose feature. Option C is wrong because disabling transformation loses data quality. Option D is wrong because increasing buffer size does not capture failed records.
Variation 2. A company uses Amazon Kinesis Data Firehose to deliver log data to Amazon S3. The data is transformed by a Lambda function that adds a timestamp field. Recently, the Firehose delivery stream has been failing with 'Lambda invocation failed' errors. The Lambda function's CloudWatch Logs show that the function is timing out. What is the MOST likely cause?
hard
A.The Lambda function lacks permission to write to CloudWatch Logs.
✓ B.The Firehose buffer size is too large, causing the Lambda function to receive too many records.
C.The Lambda function timeout is set to 1 minute, which is adequate.
D.The Lambda function is running out of memory.
Why B: Option D is correct because Firehose sends batches of records to Lambda; if the batch size is too large, the function may exceed its timeout. Option A is wrong because the Lambda function is being invoked, so permissions are fine. Option B is wrong because the error is about Lambda invocation, not memory. Option C is wrong because a 1-minute timeout is typical and may be insufficient for large batches.
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.