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AI-102 · Question #365

Drag and Drop Question You have an Azure subscription that contains a storage account named sa1 and an Azure AI Document Intelligence resource named DI1. You need to create and train a custom model…

The correct answer is Create a custom model project and link the project to sa1; Upload five sample documents.; Apply labels to the sample documents.; Train and test the model. The correct sequence reflects the minimum-effort workflow in Document Intelligence Studio for training a custom model: first, create a custom model project and link it to the storage account (sa1) so Document Intelligence Studio knows where to store and retrieve data; then…

Submitted by lucia.co· Mar 30, 2026Implement knowledge mining and document intelligence solutions - specifically designing and training custom document processing models using Azure AI Document Intelligence Studio

Question

Drag and Drop Question You have an Azure subscription that contains a storage account named sa1 and an Azure AI Document Intelligence resource named DI1. You need to create and train a custom model in DI1 by using Document Intelligence Studio. The solution must minimize development effort. Which four actions should you perform in sequence? 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 #365 exhibit

Answer Area

Drag items

Upload five sample documents.Upload 50 sample documents.Upload JSON files that contain the document layout and labels.Train and test the model.Create a custom model project and link the project to sa1Apply labels to the sample documents.

Correct arrangement

  • Create a custom model project and link the project to sa1
  • Upload five sample documents.
  • Apply labels to the sample documents.
  • Train and test the model.

Explanation

The correct sequence reflects the minimum-effort workflow in Document Intelligence Studio for training a custom model: first, create a custom model project and link it to the storage account (sa1) so Document Intelligence Studio knows where to store and retrieve data; then upload at least five sample documents (the minimum required), apply labels to those documents to define the fields the model should extract, and finally train and test the model. This Studio-based approach abstracts away manual JSON creation, which is why uploading pre-made JSON layout/label files is unnecessary - the Studio generates those automatically when you apply labels through its UI.

Topics

#Azure AI Document Intelligence#Custom Model Training#Document Intelligence Studio#Azure Storage Account

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