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Exam AI-102 topic 4 question 27 discussion

Actual exam question from Microsoft's AI-102
Question #: 27
Topic #: 4
[All AI-102 Questions]

HOTSPOT
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You have an Azure subscription.

You plan to build a solution that will analyze scanned documents and export relevant fields to a database.

You need to recommend an Azure AI Document Intelligence model for the following types of documents:

• Expenditure request authorization forms
• Structured and unstructured survey forms
• Structured employment application forms

The solution must minimize development effort and costs.

Which type of model should you recommend for each document type? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

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Suggested Answer:
by Christian_garcia_martin at Oct. 29, 2024, 6:02 a.m.

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Christian_garcia_martin
Highly Voted 6 months ago
Microsoft copilot: For expenditure request authorization forms, you should choose the Prebuilt layout model. This model is designed to handle structured or semi-structured documents, making it suitable for forms with fields and values. For structured employment application forms, you should choose the Custom template model. This model is well-suited for documents with a consistent and predictable layout, making it ideal for structured forms like employment applications. For structured and unstructured survey forms, you should choose the Custom neural model. This model is designed to handle a variety of document types, including those with mixed structures, making it ideal for extracting data from both structured and unstructured survey forms.
upvoted 5 times
pabsinaz
4 months, 1 week ago
Based on the document types and the requirement to minimize development effort and costs, here are the recommendations: Expenditure Request Authorization Forms: Recommended Model: Prebuilt Invoice Reason: This model is designed to handle structured financial documents and can be easily adapted for expenditure request forms, requiring minimal customization. Structured and Unstructured Survey Forms: Recommended Model: Prebuilt Layout Reason: This model is ideal for documents with both structured and unstructured content, making it suitable for various survey forms without extensive training. Structured Employment Application Forms: Recommended Model: Custom Template Reason: This model allows you to train the system with a few examples of your specific employment application form, making it efficient and cost-effective for documents with a consistent structure. These choices should help streamline your document processing while keeping development effort and costs to a minimum.
upvoted 4 times
BenALGuhl
3 months, 2 weeks ago
Copilot has no clue in this instance, I think. After being skeptical about your choices, I went in and tried around in Azure myself. Now I believe your answers are correct. For Expenditure, lots of fields in invoice pre-built model are already include, requiring only small tweaking. For surveys, one example in the pre-built layout model is actually a survey-style form with checkboxes and hand-written content, which it handles perfectly. And I also agree with the custom template for employment application forms, although arguably one could consider the contract pre-built model, which would have quite a few of the (assumed) required fields mapped already.
upvoted 4 times
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syupwsh
Most Recent 1 month, 4 weeks ago
Expenditure request authorization forms --> Custom template is CORRECT. Since you are dealing with specific document types like expenditure request authorization forms, a custom template model allows you to tailor the model to extract relevant fields based on a consistent structure across forms. This minimizes development effort while keeping costs low because you only need to train the model for this specific form type, rather than building complex neural models.
upvoted 1 times
syupwsh
1 month, 4 weeks ago
Structured employment application forms --> Custom template is CORRECT. Since employment application forms are structured documents with a consistent layout, the custom template model is the most efficient solution. It allows you to define specific fields to extract (e.g., name, address, employment history) based on a predefined template, which minimizes development effort and cost. Custom template models are well-suited for structured documents where the visual layout is predictable.
upvoted 1 times
syupwsh
1 month, 4 weeks ago
Structured and unstructured survey forms --> Custom neural is CORRECT. This model is ideal for handling both structured and unstructured documents, such as survey forms, which may vary in layout and content. The custom neural model can be trained to extract relevant fields from documents that do not follow a fixed structure. It leverages machine learning to adapt to different layouts, minimizing the need for predefined templates, making it suitable for a mix of structured and unstructured forms while keeping development effort low.
upvoted 1 times
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