DEA-C01 Data Ingestion and Transformation Practice Question
A company is ingesting streaming data from IoT devices into Amazon Kinesis Data Streams. The data is then processed by an AWS Lambda function that transforms the records and writes them to an Amazon S3 bucket. Recently, the Lambda function has been timing out and the S3 bucket is not receiving all expected data. The Kinesis stream is not throttling and has sufficient shards. Which step should the company take to resolve this issue?
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
✓
Increase the Lambda function's timeout and memory allocation.
The Lambda function is timing out, indicating that it cannot process the records within the allotted time. Increasing the Lambda function's timeout and memory allocation (Option B) provides more execution time and CPU resources, which can help process larger or more frequent records before timing out. Option A is incorrect because reserved concurrency limits the maximum number of concurrent instances, not the execution duration of a single instance. Option C is incorrect because increasing shards is unnecessary; the stream is not throttling, and more shards do not resolve Lambda timeouts. Option D is incorrect because enhanced fan-out reduces latency for multiple consumers but does not prevent a single Lambda function from timing out due to processing time.
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's reserved concurrency.
Why it's wrong here
Reserved concurrency does not address Lambda timeouts; it limits concurrent instances.
- ✓
Increase the Lambda function's timeout and memory allocation.
Why this is correct
Increasing timeout and memory allows the function to run longer and with more compute resources.
- ✗
Increase the number of shards in the Kinesis stream.
Why it's wrong here
Increasing shards is not needed as the stream is not throttling; it does not solve Lambda timeouts.
- ✗
Enable enhanced fan-out on the Kinesis stream to reduce latency.
Why it's wrong here
Enhanced fan-out reduces latency for multiple consumers but does not help with individual Lambda function timeouts.
Visual reference
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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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.