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Suppose you are deploying an image recognition solution with the following modules; Camera module for capturing video streams from a camera, Custom Vision module as a classifier, Display module to display the output of AI model. Which of the following concepts best describes how to run this solution on an IoT Edge device, in order?
Create your modules - Write a deployment manifest - Push deployment manifest to IoT Hub Service - Push deployment manifest to edge device
Create your modules - Package them in a container - Push them to Docker Container Registry - Write a deployment manifest - Push deployment manifest to IoT Hub Service - Push deployment manifest to edge device
Create your modules - Package them in a container - Push them to Docker Container Registry - Write a deployment manifest - Push deployment manifest to edge device - Push deployment manifest to IoT Hub Service
Consider the scenario of creating an image recognition solution using Custom Vision with Azure IoT Edge. How did we enable use of Azure AI services within the Azure IoT Edge deployment that we used in this module?
Using REST API
Using Custom Vision SDK
Using containers
Which of the IoT Edge components pull the module image down from the Docker Registry so that the module can be deployed to IoT Edge device?
IoT Edge cloud interface
IoT Edge module
IoT Edge runtime
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