DEA-C01 Data Ingestion and Transformation Practice Question
A company is streaming IoT sensor data from thousands of devices into Amazon Kinesis Data Firehose. The data is then delivered to Amazon S3 for long-term storage. Occasionally, some records fail to be delivered to S3. The company must capture and analyze these failed records. Which TWO actions should be taken? (Choose two.)
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
✓
Configure an AWS Lambda function as a pre-processing step to catch and log failed records.
Configuring an AWS Lambda function as a pre-processing step in Kinesis Data Firehose can catch and log failed records during data transformation. Option D is correct because enabling Amazon CloudWatch Logs for Kinesis Data Firehose captures delivery errors, allowing analysis of failed deliveries. Option B is incorrect because Amazon Kinesis Data Analytics is for real-time analytics, not for handling delivery failures from Firehose. Option C is incorrect because sending failed records to a Kinesis Data Stream would require additional infrastructure and is not the direct way to capture failures; CloudWatch Logs provides the necessary error logging. Option E is incorrect because S3 event notifications are triggered after successful delivery, not for failed records.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Configure an AWS Lambda function as a pre-processing step to catch and log failed records.
Why this is correct
Lambda can handle errors during transformation and log them.
- ✗
Use Amazon Kinesis Data Analytics to analyze the failed records in real time.
Why it's wrong here
Kinesis Data Analytics is for streaming analytics, not error handling.
- ✗
Send failed records to an Amazon Kinesis Data Stream for reprocessing.
Why it's wrong here
Firehose does not automatically route failures to a stream.
- ✓
Enable Amazon CloudWatch Logs for Kinesis Data Firehose to capture delivery errors.
Why this is correct
CloudWatch Logs captures error logs from Firehose.
- ✗
Set up an S3 event notification to trigger a Lambda function to reprocess failed records.
Why it's wrong here
Failed records are not in S3; they are not delivered.
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 |
Go deeper
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.