MLS-C01 · Question #316
A data engineer is preparing a dataset that a retail company will use to predict the number of visitors to stores. The data engineer created an Amazon S3 bucket. The engineer subscribed the S3 bucket
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Question
A data engineer is preparing a dataset that a retail company will use to predict the number of visitors to stores. The data engineer created an Amazon S3 bucket. The engineer subscribed the S3 bucket to an AWS Data Exchange data product for general economic indicators. The data engineer wants to join the economic indicator data to an existing table in Amazon Athena to merge with the business data. All these transformations must finish running in 30-60 minutes. Which solution will meet these requirements MOST cost-effectively?
Options
- AConfigure the AWS Data Exchange product as a producer for an Amazon Kinesis data stream.
- BUse an S3 event on the AWS Data Exchange S3 bucket to invoke an AWS Lambda function.
- CUse an S3 event on the AWS Data Exchange S3 bucket to invoke an AWS Lambda function.
- DProvision an Amazon Redshift cluster. Subscribe to the AWS Data Exchange product and use the
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