You have Azure loT Edge devices that collect measurements every 30 seconds. You plan to send the measurements to an Azure loT hub. You need to ensure that every event is processed as quickly as…

The correct answer is D. Azure Machine Learning on the loT Edge devices. Use Azure Notebooks to develop a machine learning module and deploy it to a Linux device running Azure IoT Edge. You can use IoT Edge modules to deploy code that implements your business logic directly to your IoT Edge devices…

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Question

You have Azure loT Edge devices that collect measurements every 30 seconds. You plan to send the measurements to an Azure loT hub. You need to ensure that every event is processed as quickly as possible. What should you use?

Options

AApache Kafka
BAzure Stream Analytics record functions
CAzure Stream Analytics windowing functions
DAzure Machine Learning on the loT Edge devices

How the community answered

(45 responses)

A
16% (7)
B
4% (2)
C
7% (3)
D
73% (33)

Explanation

Use Azure Notebooks to develop a machine learning module and deploy it to a Linux device running Azure IoT Edge. You can use IoT Edge modules to deploy code that implements your business logic directly to your IoT Edge devices. https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-machine-learning

Topics

#IoT Edge#Azure IoT Hub#event processing#Stream Analytics

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