AI-103: Developing AI Apps and Agents on Azure

By Microsoft · Question Mode

QuestionQ106

VerifiedImplement computer vision solutions

You are developing an application that will detect faulty components produced on a factory production line. The components are specific to your business.

You need to use the Azure Custom Vision API to help detect common faults.

Which three actions should you perform in sequence? Move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Drag & Drop
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Explanation

To detect faults using Azure Custom Vision, you first create a Custom Vision project, specifying the project type (Classification, since you are determining whether a component is faulty). Next, you upload representative images of components and tag them (e.g., 'faulty' or 'good') so the service has labeled training data. Finally, you train the classifier model, which uses the tagged images to learn the visual qualities that distinguish faulty from non-faulty components. Object detection training is unnecessary here because the goal is to classify the overall condition of a component, not to identify and locate multiple distinct objects or defect regions within each image.

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