Implement knowledge mining and information extraction solutions →easyMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You need to implement a solution that searches through a collection of scanned invoices and extracts invoice numbers, dates, and total amounts. The solution must run on a schedule without manual intervention. Which Azure service should you use?
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 specifically designed to extract structured data like invoice numbers, dates, and total amounts from scanned documents. It can be scheduled to run automatically via APIs or pipelines. Azure Bot Service is for conversational AI, not document extraction. Azure AI Search with built-in skills can index and search documents but is not optimized for extracting specific fields from invoices. Azure AI Foundry model catalog is for discovering and deploying AI models, not for direct document extraction.
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 Bot Service
Why it's wrong here
It is for conversational AI.
- ✓
Azure AI Document Intelligence
Why this is correct
It extracts structured fields from documents.
- ✗
Azure AI Search with built-in skills
Why it's wrong here
Search indexes, but extraction is done by skills; Document Intelligence is the extraction service.
- ✗
Azure AI Foundry model catalog
Why it's wrong here
It provides models, not extraction service.
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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.