It uses machine learning that automates the detection of potentially fraudulent activities online.

It uses machine learning that automates the detection of potentially fraudulent activities online.

• A. AWS IoT Things Graph
• B. Amazon Comprehend
• C. Amazon Kendra
• D. Amazon Fraud Detector

Answer: (D)

This item tests recognizing a service built specifically to automate fraud detection using machine learning. Amazon Fraud Detector is a fully managed service that trains ML models on historical fraud data to score the risk of online activities in real time. It can automatically flag or block suspicious transactions or account actions, handling data preprocessing, feature extraction, model training, deployment, and ongoing monitoring so you don’t have to build the ML pipeline yourself. The other services serve different purposes: IoT Things Graph focuses on orchestrating IoT devices and their workflows; Comprehend analyzes natural language text; Kendra provides enterprise search over documents. So the option that best fits automated fraud detection with ML is Amazon Fraud Detector.

This item tests recognizing a service built specifically to automate fraud detection using machine learning. Amazon Fraud Detector is a fully managed service that trains ML models on historical fraud data to score the risk of online activities in real time. It can automatically flag or block suspicious transactions or account actions, handling data preprocessing, feature extraction, model training, deployment, and ongoing monitoring so you don’t have to build the ML pipeline yourself. The other services serve different purposes: IoT Things Graph focuses on orchestrating IoT devices and their workflows; Comprehend analyzes natural language text; Kendra provides enterprise search over documents. So the option that best fits automated fraud detection with ML is Amazon Fraud Detector.