An e-commerce company has an application that uses Amazon DynamoDB tables configured with provisioned capacity. Order data is stored in a table named Orders. The Orders table has a primary key of…

Question

Options

• AAdd a global secondary index to the Orders table. Include the product-ID attribute.
• BSet the batch size attribute of the DynamoDB streams to be based on the size of items in the
• CIncrease the DynamoDB table provisioned capacity by 1,000 write capacity units (WCUs).
• DIncrease the DynamoDB table provisioned capacity by 1,000 read capacity units (RCUs).
• EIncrease the timeout of the Lambda function to 15 minutes.

• A
  19% (6)
• B
  68% (21)
• D
  3% (1)
• E
  10% (3)

Explanation

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.

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