Implement knowledge mining and information extraction solutions →mediumMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You are designing a knowledge mining solution for a large legal firm. The solution must extract key clauses, parties, and dates from thousands of PDF contracts. You need to minimize manual labeling effort while achieving high extraction accuracy. Which Azure AI service should you use?
⚠ Common exam trap
In the Microsoft AI-102 exam, candidates often confuse Azure OpenAI's generative capabilities with Azure AI Document Intelligence's specialized extraction service. While GPT-4 is flexible, it is not deterministic and requires more labeling effort to achieve high accuracy for structured field extraction from documents, making Document Intelligence the better choice.
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 custom extraction model
Azure AI Document Intelligence custom extraction model is the correct choice because it is specifically designed to extract structured fields (like clauses, parties, and dates) from documents such as PDF contracts. It uses a prebuilt layout model combined with custom training on a small set of labeled documents, minimizing manual labeling effort while achieving high accuracy through transfer learning and table/key-value pair 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 AI Document Intelligence custom extraction model
Why this is correct
Custom extraction models are designed for high-accuracy field extraction from documents with minimal labeling.
- ✗
Azure OpenAI Service with GPT-4 prompt engineering
Why it's wrong here
While GPT-4 can extract, it requires more effort for reliable structured extraction and may be less cost-effective.
- ✗
Azure AI Search with built-in blob indexing
Why it's wrong here
Azure AI Search indexes documents for search but does not perform custom field extraction without custom skills.
- ✗
Azure AI Language custom named entity recognition
Why it's wrong here
Custom NER is for entity extraction from text, not from document layouts like PDFs.
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