AWS Certified Machine Learning – Specialty — Question 101

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?

Answer options

• 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.

Correct answer: B

Explanation

The correct answer is B, as creating a FindMatches machine learning transform in AWS Glue allows the data scientist to identify similar records and thus detect fraudulent accounts. Option A, while useful for querying, does not specifically target machine learning for fraud detection. Option C focuses on data inference rather than direct identification of fraud. Option D involves searching for duplicates without leveraging machine learning capabilities.