AI-102 Practice Question: Implement natural language processing solutions
A legal firm is using Azure AI Language to analyze contracts. They need to extract key clauses, parties involved, and dates. The solution must be customizable to their specific contract types. Which TWO Azure AI Language features should they use?
⚠ Common exam trap
Microsoft often tests the distinction between prebuilt and custom features, where candidates mistakenly choose Key phrase extraction or Entity linking because they sound related to 'extracting' or 'linking' entities, but they lack the domain-specific customization required for legal contracts.
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
✓
Prebuilt NER for Legal
Prebuilt NER for Legal is correct because it provides out-of-the-box entity extraction tailored to legal documents, including parties, dates, and key clauses, without requiring custom training. This feature is specifically designed for legal use cases, making it ideal for a firm that needs to quickly extract standard legal entities from contracts.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Conversation summarization
Why it's wrong here
Conversation summarization is designed for summarizing conversations, not extracting entities from contracts.
- ✓
Prebuilt NER for Legal
Why this is correct
Prebuilt NER for Legal recognizes common legal entities such as parties, dates, and jurisdictions.
- ✓
Custom Named Entity Recognition (NER)
Why this is correct
Custom NER enables extraction of domain-specific entities like legal clauses tailored to the firm's contracts.
- ✗
Key phrase extraction
Why it's wrong here
Key phrase extraction returns general key phrases, not specific structured entity types.
- ✗
Entity linking
Why it's wrong here
Entity linking disambiguates entities to a knowledge base, but does not provide custom extraction for legal contracts.
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