You need to extract data from a highly structured, fixed-layout form (like a standardized government tax form). You want to map specific coordinates on the document to specific fields. Which Custom Model type in Document Intelligence is best suited for this?

Direct Answer (Verified)Reviewed by Sunny (Senior Cloud Engineer)

Correct Answer: Custom Template model

Custom Template models (formerly Custom Form models) rely on static layouts and structural templates to extract data. They are ideal for fixed-format documents, whereas Neural mode...

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Real Exam ScenarioAzure AI Document Intelligence

You need to extract data from a highly structured, fixed-layout form (like a standardized government tax form). You want to map specific coordinates on the document to specific fields. Which Custom Model type in Document Intelligence is best suited for this?

โœ“ Correct Answer & ExplanationAzure AI Document Intelligence

Correct Answer

Custom Template model

Why This Answer Is Correct

Custom Template models (formerly Custom Form models) rely on static layouts and structural templates to extract data. They are ideal for fixed-format documents, whereas Neural models handle unstructured variations.

๐Ÿ“š What This Question Tests

This question evaluates your knowledge of Azure AI Document Intelligence โ€” a core concept tested in Microsoft Certified: Azure AI Engineer Associate (AI-102). Understanding Azure AI Document Intelligence is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.