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A company provides a trading platform to customers.

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A company provides a trading platform to customers. The platform uses an Amazon API Gateway REST API, AWS Lambda functions, and an Amazon DynamoDB table. Each trade that the platform processes invokes a Lambda function that stores the trade data in Amazon DynamoDB. The company wants to ingest trade data into a data lake in Amazon S3 for near real-time analysis. Which solution will meet these requirements with the LEAST operational overhead?

A.

Use Amazon DynamoDB Streams to capture the trade data changes. Configure DynamoDB Streams to invoke a Lambda function that writes the data to Amazon S3.

B.

Use Amazon DynamoDB Streams to capture the trade data changes. Configure DynamoDB Streams to invoke a Lambda function that writes the data to Amazon Data Firehose. Write the data from Data Firehose to Amazon S3.

C.

Enable Amazon Kinesis Data Streams on the DynamoDB table to capture the trade data changes. Configure Kinesis Data Streams to invoke a Lambda function that writes the data to Amazon S3.

D.

Enable Amazon Kinesis Data Streams on the DynamoDB table to capture the trade data changes. Configure a data stream to be the input for Amazon Data Firehose. Write the data from Data Firehose to Amazon S3.

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