AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You need to extract key-value pairs from scanned forms as part of a knowledge mining solution. Which Azure AI service should you use?
⚠ Common exam trap
A common mix-up: candidates confuse Azure AI Vision's OCR capability with form-specific extraction, not realizing that Document Intelligence is the dedicated service for key-value pair extraction from scanned forms, while Vision only provides raw text coordinates without semantic understanding.
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 key-value pairs, tables, and structured data from scanned forms and documents using prebuilt and custom models. This aligns directly with the requirement for knowledge mining from scanned forms.
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 Vision
Why it's wrong here
Azure AI Vision returns OCR text, captions and object tags, but does not pair labels with values into key-value pairs. It would suit reading printed text or describing images, whereas the scenario needs structured field extraction from forms, which is Document Intelligence's purpose.
- ✗
Azure AI Language
Why it's wrong here
Azure AI Language performs entity recognition, sentiment and key-phrase extraction over text, not spatial form-field mapping. It cannot read scanned layouts or bind labels to values. It would be the right choice for extracting named entities or opinions from already-digitised prose, not for Document Intelligence-style form field extraction.
- ✗
Azure AI Search
Why it's wrong here
Azure AI Search indexes and queries text but performs no optical character recognition or key-value extraction from scanned forms. Document Intelligence provides the prebuilt and custom models that return key-value pairs. AI Search would be correct for indexing and retrieving the extracted content afterwards.
- ✓
Azure AI Document Intelligence
Why this is correct
Document Intelligence provides prebuilt and custom models that return structured key-value pairs from scanned forms, unlike pure OCR which yields unstructured text. This directly satisfies the requirement to extract key-value pairs from scanned forms within the knowledge mining pipeline.
Go deeper
Related to this question
About these practice questions
One of 761 original AI-102 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more way this is tested on AI-102
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. You need to extract key-value pairs from a large set of invoices. The invoices have a consistent layout but vary in format (PDF, TIFF). Which Document Intelligence model should you use?
easy- A.Custom extraction model
- B.Layout model
- C.Read model
- ✓ D.Premade invoice model
Why D: The premade invoice model (D) is specifically designed to extract key-value pairs from invoices, including fields like invoice date, total amount, and vendor details, even when the invoices vary in format (PDF, TIFF). It leverages pre-trained deep learning models optimized for invoice layouts, making it the most efficient choice for this task without requiring custom training.
JA
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.