Microsoft Azure IoT Developer Exam (AZ-220) - Microsoft

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Box 1: iothub1 The Azure IoT hub is named iothub1. Box 2: azure-devices.net<br />
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The format of the device connection string looks like:<br />
HostName={YourIoTHubName}.azure-<br />
devices.net;DeviceId=MyNodeDevice;SharedAccessKey={YourSharedAccessKey}<br />
Box 1: device1 Device1 has a primary key of Uihuih76hbHb.<br />
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Reference: https://docs.microsoft.com/en-us/azure/iot-hub/quickstart-control-device-dotnet

Scenario: You discover connectivity issues between the IoT gateway devices and iothub1, which cause IoT devices to lose connectivity and messages. To log device connection events and errors, turn on diagnostics for IoT Hub. We recommend turning on these logs as early as possible, because if diagnostic logs aren't enabled, when device disconnects occur, you won't have any information to troubleshoot the problem with.<br />
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Step 1:<br />
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1. Sign in to the Azure portal.<br />
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2. Browse to your IoT hub.<br />
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3. Select Diagnostics settings.<br />
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4. Select Turn on diagnostics.<br />
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5. Enable Connections logs to be collected.<br />
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6. For easier analysis, turn on Send to Log Analytics (see pricing).<br />
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Step 2:<br />
Set up alerts for device disconnect at scale To get alerts when devices disconnect, configure alerts on the Connected devices (preview) metric.<br />
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Reference: https://docs.microsoft.com/bs-cyrl-ba/azure/iot-hub/iot-hub-troubleshoot-connectivity

Create a dedicated consumer group in the IoT hub for the Time Series Insights environment to consume from. Each Time Series Insights event source must have its own dedicated consumer group that isn't shared with any other consumer. If multiple readers consume events from the same consumer group, all readers are likely to exhibit failures.<br />
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Reference: https://docs.microsoft.com/en-us/azure/time-series-insights/time-series-insights-how-to-add-an- event-source- iothub

Scenario: You plan to use a 30-second period to calculate the average temperature reading of the sensors. Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.<br />
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InAnswers: A: Hopping window functions hop forward in time by a fixed period. It may be easy to think of them as Tumbling windows that can overlap, so events can belong to more than one Hopping window result set.<br />
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Reference: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions

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Reference: https://docs.microsoft.com/bs-cyrl-ba/azure/iot-hub/iot-hub-message-enrichments-overview