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A data scientist needs to identify fraudulent user accounts for a company's ecommerce platform.

A data scientist needs to identify fraudulent user accounts for a company's ecommerce platform. The company wants the ability to determine if a newly created account is associated with a previously known fraudulent user. The data scientist is using AWS Glue to cleanse the company's application logs during ingestion.

Which strategy will allow the data scientist to identify fraudulent accounts?

A.

Execute the built-in FindDuplicates Amazon Athena query.

B.

Create a FindMatches machine learning transform in AWS Glue.

C.

Create an AWS Glue crawler to infer duplicate accounts in the source data.

D.

Search for duplicate accounts in the AWS Glue Data Catalog.

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