Anomaly Detection — Microsoft Azure AI Fundamentals (AI-900) Practice Questions
Anomaly detection is an AI technique that identifies data points, events, or patterns that deviate significantly from expected behavior in a time series or dataset. On the AI-900 exam, Azure Anomaly Detector is the dedicated service for this capability, and candidates should understand its use in scenarios such as monitoring system metrics, detecting unusual spikes in sales data, or identifying irregular sensor readings. The exam tests conceptual understanding of how anomaly detection differs from classification or regression tasks.
Free questions on anomaly detection
What is an example of an anomaly detection use case in AI?
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