You are developing a monitoring system that will analyze engine sensor data, such as rotation speed, angle, temperature, and pressure. The system must generate an alert in response to atypical values.
Hmm, I'm not sure if Univariate Anomaly Detection (Option D) is the right fit here. Analyzing each sensor data point in isolation might miss the bigger picture.
I'd go with Option B. Metric alerts in Azure Monitor seem tailored for this use case, as they can trigger alerts based on predefined thresholds for the sensor data.
Option C looks like the best choice for this monitoring system. Multivariate Anomaly Detection can analyze multiple sensor data points to identify atypical patterns.
Darrin
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