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An e-commerce company is looking for a solution that detects anomalies in order to identify fraudulent transactions. The company utilizes Amazon Kinesis to transfer JSON-formatted transaction records from its on-premises database to Amazon S3. The existing dataset comprises 200-column wide records for each transaction. To identify fraudulent transactions, the solution needs to analyze just 20 of these columns. Which of the following would you suggest as the lowest-cost solution that needs the least development work and offers out-of-the-box anomaly detection functionality?