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A developer manages an application that writes customer orders to an Amazon DynamoDB table.

A developer manages an application that writes customer orders to an Amazon DynamoDB table. The orders use customerId as the partition key, orderId as the sort key, and order_date as an attribute. A new access pattern requires accessing data by order_date and orderId. The developer needs to implement a new AWS Lambda function to support the new access pattern.

How should the developer support the new access pattern in the MOST operationally efficient way?

A.

Add a new local secondary index (LSI) to the DynamoDB table that specifies order_date as the partition key and orderId as the sort key. Write the new Lambda function to query the new LSI index.

B.

Write the new Lambda function to scan the DynamoDB table. In the Lambda function, write a method to retrieve and combine results by order_date and orderId.

C.

Add a new global secondary index (GSI) to the DynamoDB table that specifies order_date as the partition key and orderId as the sort key. Write the new Lambda function to query the new GSI index.

D.

Enable DynamoDB Streams on the table. Choose the new and old images information to write to the DynamoDB stream. Write the new Lambda function to query the DynamoDB stream.

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