DEA-C01 Data Operations and Support Practice Question
A company uses Amazon Kinesis Data Streams to ingest real-time clickstream data. The data is consumed by a Lambda function that writes to an S3 bucket. Recently, the Lambda function started timing out. Which step should be taken 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 timeout
The Lambda function is timing out, indicating that the current timeout is insufficient for processing the records from Kinesis within the allowed time. Increasing the timeout gives the function more time to complete its work, resolving the timeout issue. Option B is incorrect because setting reserved concurrency to 1 limits the number of concurrent executions but does not increase the time available per invocation. Option C is incorrect because decreasing the batch size reduces the number of records per invocation but does not extend the timeout; it may even increase the number of invocations. Option D is incorrect because increasing the number of shards increases the stream's throughput and may increase the number of concurrent Lambda invocations, but it does not address the root cause of the function timing out.
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
Why this is correct
Allows the function to run longer without timing out.
- ✗
Set the Lambda reserved concurrency to 1
Why it's wrong here
Limits concurrency but does not increase timeout.
- ✗
Decrease the batch size in the event source mapping
Why it's wrong here
Smaller batches reduce load but do not extend timeout.
- ✗
Increase the number of shards in the Kinesis stream
Why it's wrong here
More shards increase parallelism but not timeout.
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
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