Lab – detecting anomalies with ASA

One of the most common use cases of ASA is to detect anomalies. In this lab, you will see how it is done:

1. Create an IoT hub with a device named device1.
2. Go to the device simulator at https://azure-samples.github.io/raspberry-pi-web-simulator and enter your device connection string.
3. Start the simulator and make sure your IoT hub is getting messages. You can use the following CLI command to view messages:

   az iot hub monitor-events --hub-name

4. If it asks you to install dependencies, choose Yes.
5. You can stop the simulator while you set up the ASA job.
6. Create a blob storage account to save the results of the job. Create a blob container named logs.
7. In the same resource group, select Create a resource and search for stream analytics job.

   Create a Stream Analytics job using the default values.

8. Once created, open the Stream Analytics job in the Azure portal and select Inputs on the left-hand menu. Add an IoT hub input...