DEA-C01 Data Operations and Support Practice Question
A company uses Amazon Kinesis Data Firehose to deliver streaming data to Amazon S3. The data must be transformed in real-time using a custom Lambda function. Which TWO steps are required to enable this? (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 Kinesis Data Firehose to use a Lambda function for data transformation
Options A and B are correct. Amazon Kinesis Data Firehose can invoke an AWS Lambda function for data transformation. You configure Firehose to call the Lambda function (A), and the Lambda function must return the transformed records in the required format, including fields like recordId, result, and data (B). Option C is incorrect because Kinesis Data Analytics is used for real-time analytics, not for simple record transformations within Firehose. Option D is incorrect because transformation logic cannot be written directly in the Firehose delivery stream configuration; it must be implemented in a Lambda function. Option E is incorrect because using Kinesis Data Streams as a source is optional and not required for enabling Lambda transformation.
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 Kinesis Data Firehose to use a Lambda function for data transformation
Why this is correct
Firehose can invoke Lambda for transformation.
- ✓
Ensure the Lambda function returns the transformed records in the correct format
Why this is correct
Lambda must return records to Firehose.
- ✗
Create a Kinesis Data Analytics application to transform the data
Why it's wrong here
Not for Firehose transformation; used for real-time analytics.
- ✗
Write the transformation logic directly in the Firehose delivery stream configuration
Why it's wrong here
Firehose does not support inline transformation logic.
- ✗
Use Kinesis Data Streams as the source for Firehose
Why it's wrong here
Not required for transformation; data can come directly from producers.
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 |
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