QuestionQ36

Plan and implement data platform resources

You are creating an anomaly-detection solution for streaming data from an Azure IoT hub. The solution must meet these requirements:

  • Send the output to Azure Synapse.
  • Detect spikes and dips in time-series data.
  • Minimize development and configuration effort.

Which component should you include in the solution?

Explanation

Azure Stream Analytics is a managed stream-processing service that can consume Azure IoT Hub data and includes the built-in AnomalyDetection_SpikeAndDip machine-learning function for temporary anomalies in time-series events. This directly detects spikes and dips with minimal development and configuration, and its outputs can be used with Azure Synapse Analytics.

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