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…

The correct answer is C. Azure Stream Analytics. Anomalies can be identified by routing data via IoT Hub to a built-in ML model in Azure Stream Analytics Reference: https://docs.microsoft.com/en-us/learn/modules/data-anomaly-detection-using-azure-iot-hub/…

Submitted by chiamaka_o· Mar 6, 2026Plan and implement data platform resources

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?

Options

AAzure SQL Database
BAzure Databricks
CAzure Stream Analytics

How the community answered

(19 responses)

A
11% (2)
B
11% (2)
C
79% (15)

Explanation

Anomalies can be identified by routing data via IoT Hub to a built-in ML model in Azure Stream Analytics Reference: https://docs.microsoft.com/en-us/learn/modules/data-anomaly-detection-using-azure-iot-hub/ https://docs.microsoft.com/en-us/azure/stream-analytics/azure-synapse-analytics-output

Topics

#Azure Stream Analytics#IoT Hub#anomaly detection#streaming data

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