A is the answer.
https://learn.microsoft.com/en-us/azure/cognitive-services/anomaly-detector/overview#univariate-anomaly-detection
Batch detection
Use your time series to detect any anomalies that might exist throughout your data. This operation generates a model using your entire time series data, with each point analyzed with the same model.
A is the answer because batch detection processes the entire dataset at once to identify anomalies. This is suitable for scenarios where you need to analyze sensor data from the previous 24 hours in one go.
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