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AI-102 Implement generative AI solutions Practice Question

A developer wants to integrate a pre-built AI model that can extract key information from invoices, such as vendor name, invoice date, and total amount. Which Azure AI service should they use?

⚠ Common exam trap

Candidates often confuse Azure AI Language's entity extraction capabilities with document-specific extraction, not realizing that Azure AI Document Intelligence is purpose-built for semi-structured documents like invoices and forms.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Azure AI Document Intelligence

Azure AI Document Intelligence (formerly Form Recognizer) is the correct service because it is specifically designed to extract structured data from documents like invoices, including fields such as vendor name, invoice date, and total amount. It uses pre-built models trained on common document types, making it ideal for this use case without requiring custom training.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Azure AI Language

    Why it's wrong here

    Azure AI Language includes NER and sentiment analysis, but not invoice-specific extraction.

  • Azure OpenAI Service

    Why it's wrong here

    Azure OpenAI is for generative AI, not structured data extraction.

  • Azure AI Document Intelligence

    Why this is correct

    Document Intelligence provides pre-built invoice models for extraction.

  • Azure Cognitive Search

    Why it's wrong here

    Cognitive Search is for search indexing, not document extraction.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.