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A finance company uses scheduled scripts to store and visualize stock market data in an...

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A finance company uses scheduled scripts to store and visualize stock market data in an Amazon DynamoDB table. The company deletes records after a month to optimize costs. However, the company needs a cost-optimized solution to generate reports and visualizations based on historical data. Which solution will meet these requirements?

A.

Use an integration between DynamoDB and Amazon Redshift to load records directly into Amazon Redshift. Use the built-in Amazon Redshift query engine to generate reports and visualizations.

B.

Use Amazon Kinesis Data Streams and Amazon Data Firehose to stream DynamoDB records to an Amazon S3 bucket. Load the data into Amazon Redshift. Use the built-in Amazon Redshift query editor to query the data to generate reports and visualizations.

C.

Use Amazon Kinesis Data Streams and Amazon Data Firehose to stream DynamoDB records to an Amazon S3 bucket. Use Amazon Athena to query the data. Use Amazon QuickSight to generate reports and visualizations.

D.

Use AWS DMS to continuously copy DynamoDB records into an Amazon RDS database for long-term storage. Use Amazon QuickSight to generate reports and visualizations.

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