AI-102 exam dumps

AI-102 practice question 417 of 493

Designing and Implementing a Microsoft Azure AI Solution. Professional level, Microsoft. Free question with the correct answer and a full explanation.

AI-102 Question 417

Single answer

You are tasked with creating a composed document intelligence model in Azure AI to process invoices and receipts. The invoices have a fixed layout, while the receipts have variable structures. What is the best approach to implement the composed model in this scenario?

  1. A

    Train a single custom model to handle both invoices and receipts.

  2. B

    Use prebuilt models for both invoices and receipts without composing them.

  3. C

    Create individual custom models for invoices and receipts, and then combine them into a composed model.

  4. D

    Leverage the Azure Form Recognizer Layout model for both invoices and receipts without creating a composed model.

Show answer and explanation

Correct answer: C

Explanation

When creating a composed document intelligence model in Azure AI, the recommended practice is to train individual models for each document type (such as invoices and receipts) and then combine them into a composed model. This ensures accurate processing of documents with different structures and layouts, as the composed model can intelligently route each document to the appropriate sub-model.

  • A. Incorrect.

    This is not the best approach because invoices and receipts have different structures and would require individual models to achieve higher accuracy.

  • B. Incorrect.

    Using prebuilt models separately does not leverage the composed model feature, which is designed to handle scenarios with multiple document types.

  • C. Correct.

    This is the correct approach because a composed model allows you to combine individual models for different document types, ensuring better handling of both invoices and receipts.

  • D. Incorrect.

    The Layout model is not specialized for invoices or receipts. It provides basic layout extraction and is not suitable for building a composed model.

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