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AI-102 · Question #399

You have a training dataset that contains 10,000 PDF documents. The documents contain scanned books, comics, and magazines. You are building a solution that will use Azure AI and a custom model. You…

The correct answer is D. a multi label image classification model. AutoML Image Classification Multi-label Multi-label image classification is a computer vision task where the goal is to predict a set of labels associated with each individual image. You may consider using multi-label classification where you need to determine several…

Submitted by hassan_iq· Mar 30, 2026Implement computer vision solutions

Question

You have a training dataset that contains 10,000 PDF documents. The documents contain scanned books, comics, and magazines. You are building a solution that will use Azure AI and a custom model. You need to train the model by using Language Studio. The solution must meet the following requirements: - Tag each item as a book, comic, or magazine. - Minimize development effort. What should you use?

Options

  • Aa custom extraction model
  • Ba multi label classification project
  • Ca custom named entity recognition (NER) project
  • Da multi label image classification model

How the community answered

(60 responses)
  • A
    15% (9)
  • B
    2% (1)
  • C
    5% (3)
  • D
    78% (47)

Explanation

AutoML Image Classification Multi-label Multi-label image classification is a computer vision task where the goal is to predict a set of labels associated with each individual image. You may consider using multi-label classification where you need to determine several properties of a given image. https://learn.microsoft.com/en-us/azure/machine-learning/component-reference-v2/image-classifi cation-multilabel

Topics

#custom model#multi-label classification#image classification#Language Studio

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