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AI-102 · Question #86

Drag and Drop Question Drag and Drop Question You train an Azure AI Custom Vision image classification model used in a mobile app. You receive 1,000 new images that do not have any associated data…

The correct answer is Upload all the images.; Get suggested tags.; Review the suggestions and confirm the tags. The optimal workflow minimizes manual effort by leveraging Azure AI Custom Vision's built-in 'Smart Labeler' (suggested tags) feature. You first upload all 1,000 untagged images at once, then use 'Get suggested tags' to have the model automatically propose labels based on its…

Submitted by the_admin· Mar 30, 2026Implement computer vision solutions using Azure AI Custom Vision, including efficient data labeling and iterative model improvement workflows

Question

Drag and Drop Question Drag and Drop Question You train an Azure AI Custom Vision image classification model used in a mobile app. You receive 1,000 new images that do not have any associated data. You need to use the images to retrain the model. You must minimize the amount of time and effort required. Which three actions should you perform in the Azure AI Custom Vision portal? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Answer:

Exhibit

AI-102 question #86 exhibit

Answer Area

Drag items

Upload the images by category.Get suggested tags.Upload all the images.Group the images locally into category folders.Review the suggestions and confirm the tags.Tag the images manually.

Correct arrangement

  • Upload all the images.
  • Get suggested tags.
  • Review the suggestions and confirm the tags.

Explanation

The optimal workflow minimizes manual effort by leveraging Azure AI Custom Vision's built-in 'Smart Labeler' (suggested tags) feature. You first upload all 1,000 untagged images at once, then use 'Get suggested tags' to have the model automatically propose labels based on its existing training, and finally review and confirm those AI-generated suggestions - which is far faster than manual tagging. This approach takes advantage of the model's existing knowledge to automate the bulk of the labeling work.

Topics

#Azure AI Custom Vision#Image Classification#Model Retraining#Smart Labeler / Suggested Tags

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