Fraud Detection — Microsoft Azure AI Fundamentals (AI-900) Practice Questions

Fraud detection is a practical AI use case in which machine learning models analyze transaction patterns, user behavior, or network activity to identify potentially fraudulent actions in real time or near-real time. On the AI-900 exam, fraud detection is used to illustrate classification and anomaly detection concepts, as well as responsible AI considerations such as fairness and the consequences of false positives. Candidates should be able to identify it as a workload that benefits from AI and understand which Azure services or model types support it.

Free questions on fraud detection