DVA-C02 · Question #739
A developer is building a backend system for the long-term storage of information from an inventory management system. The information needs to be stored so that other teams can build tools to report
The correct answer is B. Create an AWS Lambda function that writes to Amazon S3 asynchronously. Configure a dead-. Writing to Amazon S3 asynchronously via an AWS Lambda function ensures low latency for the inventory system and allows for fast ingestion of data. By configuring a dead-letter queue (DLQ), the system gains fault tolerance without impacting performance. This pattern provides the f
Question
A developer is building a backend system for the long-term storage of information from an inventory management system. The information needs to be stored so that other teams can build tools to report and analyze the data. How should the developer implement this solution to achieve the FASTEST running time?
Options
- ACreate an AWS Lambda function that writes to Amazon S3 synchronously Increase the function's
- BCreate an AWS Lambda function that writes to Amazon S3 asynchronously. Configure a dead-
- CCreate an AWS Lambda function that writes to Amazon S3 synchronously. Set the inventory
- DCreate an AWS Lambda function that writes to an Amazon ElastiCache (Redis OSS) cluster
How the community answered
(44 responses)- A7% (3)
- B77% (34)
- C2% (1)
- D14% (6)
Explanation
Writing to Amazon S3 asynchronously via an AWS Lambda function ensures low latency for the inventory system and allows for fast ingestion of data. By configuring a dead-letter queue (DLQ), the system gains fault tolerance without impacting performance. This pattern provides the fastest overall running time while maintaining reliability.
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