DP-203 Certification Practice Question #153

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 Azure Synapse.
✑ Identify spikes and dips in time series data.
✑ Minimize development and configuration effort.
Which should you include in the solution?

Accepted Answer

The key discriminator is ?identify spikes and dips in time series data? while minimizing development and configuration. Azure Stream Analytics has a built-in `AnomalyDetection_SpikeAndDip` function for this exact streaming pattern and can send output downstream to Azure Synapse. Databricks could implement anomaly detection, but it requires more custom engineering than the managed Stream Analytics path.

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