An e-commerce company has an application that uses Amazon DynamoDB tables configured with provisioned capacity.

Key Problem:

Delayed Inventory table updates during peak sales.

DynamoDB Streams and Lambda processing require optimization.

Analysis of Options:

Option A:Adding a GSI is unrelated to the issue. It does not address stream processing delays or capacity issues.

Option B:Optimizing batch size reduces latency and allows the Lambda function to process larger chunks of data at once, improving performance during peak load.

Option C:Increasing write capacity for the Inventory table ensures that it can handle the increased volume of updates during peak times.

Option D:Increasing read capacity for the Orders table does not directly resolve the issue since the problem is with updates to the Inventory table.

Option E:Increasing Lambda timeout only addresses longer processing times but does not solve the underlying throughput problem.

AWS References:

DynamoDB Streams Best Practices

Provisioned Throughput in DynamoDB