MLS-C01 · Question #323
MLS-C01 Question #323: Real Exam Question with Answer & Explanation
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Question
A retail company stores 100 GB of daily transactional data in Amazon S3 at periodic intervals. The company wants to identify the schema of the transactional data. The company also wants to perform transformations on the transactional data that is in Amazon S3. The company wants to use a machine learning (ML) approach to detect fraud in the transformed data. Which combination of solutions will meet these requirements with the LEAST operational overhead? (Choose three.)
Options
- AUse Amazon Athena to scan the data and identify the schema.
- BUse AWS Glue crawlers to scan the data and identify the schema.
- CUse Amazon Redshift to store procedures to perform data transformations.
- DUse AWS Glue workflows and AWS Glue jobs to perform data transformations.
- EUse Amazon Redshift ML to train a model to detect fraud.
- FUse Amazon Fraud Detector to train a model to detect fraud.
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