Microsoft Azure AI Engineer Associate AI-102 Practice Question
After training an image classification project in the Custom Vision portal, you attempt to publish the newest iteration but the Publish button is disabled. You need to expose the model for prediction requests sent by client applications. According to Custom Vision requirements, which configuration must be completed in the project before the iteration can be published?
Generate and download a Docker container export of the iteration.
Increase the number of training images per tag to at least 30.
Promote the iteration to the project's default iteration on the Performance tab.
Connect the project to an Azure AI Services resource that provides a Prediction endpoint.
A Custom Vision model can be published only when the project is linked to an Azure AI Services resource configured for the Prediction workload. The publish operation binds the selected iteration to that resource so that external callers can send prediction requests using the resource's endpoint and key. Training image counts, setting an iteration as the default, or exporting a Docker container are unrelated to enabling the Publish button; they do not satisfy the publishing prerequisite.
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What is an Azure AI Services resource and how does it relate to the Prediction endpoint?
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Why do training image counts per tag not affect the ability to publish iterations?
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What is the difference between promoting an iteration to default and publishing an iteration?
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Microsoft Azure AI Engineer Associate AI-102
Implement computer vision solutions
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