DP-300 Certification Practice Question #14

Question

You are designing an anomaly detection solution for streaming data from an Azure IoT hub. The solution must meet the following requirements:
✑ Send the output to an Azure Synapse.
✑ Identify spikes and dips in time series data.
✑ Minimize development and configuration effort.
Which should you include in the solution?

Accepted Answer

Azure Stream Analytics provides built-in, ready-to-use anomaly detection functions like `AnomalyDetection_SpikeAndDip` to identify temporary spikes and dips in numeric streaming data. Choosing Azure Stream Analytics (Option C) over custom ML development on Azure Databricks minimizes coding, configuration, and maintenance effort while seamlessly routing output directly to Azure Synapse.

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