AI-102 Practice Question: Implement natural language processing solutions
You are designing an NLP solution to analyze legal documents. The solution must identify specific clauses and parties involved. Which Azure AI service is most appropriate?
⚠ Common exam trap
Many candidates confuse Pre-built NER with Custom NER, assuming the pre-built model can handle domain-specific entities like legal clauses, but it only recognizes generic categories and cannot be retrained.
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
✓
Custom Named Entity Recognition in Azure AI Language
Custom Named Entity Extraction (Custom NER) in Azure AI Language is the correct choice because it allows you to train a model to recognize domain-specific entities like legal clauses and party names from your own labeled data. Pre-built NER only recognizes generic entity types (e.g., person, organization, location) and cannot be customized for legal terminology. This makes Custom NER the only option that meets the requirement to identify specific clauses and parties unique to legal documents.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Custom Named Entity Recognition in Azure AI Language
Why this is correct
Custom NER can be trained to recognize domain-specific entities.
- ✗
Pre-built Named Entity Recognition in Azure AI Language
Why it's wrong here
Pre-built NER only recognizes common entities.
- ✗
Text Analytics for Health
Why it's wrong here
Text Analytics for Health is for medical data.
- ✗
Immersive Reader
Why it's wrong here
Immersive Reader is for reading support.
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Senior Network & Security Engineer · founder of Courseiva
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