AI-102 Practice Question: Implement natural language processing solutions
You are using Azure AI Language to analyze medical records. The built-in NER model does not recognize some medical terms. What should you do?
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
✓
Train a custom NER model using Azure AI Language
Custom NER allows training a model on your specific terms. Text Analytics for Health is a specialized built-in model for healthcare but may not cover all custom terms. Custom Text Classification is for document classification. Entity Linking disambiguates to a knowledge base.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use the Text Analytics for Health feature
Why it's wrong here
Text Analytics for Health is a pre-built model; it may not include the specific terms you need.
- ✗
Use Entity Linking
Why it's wrong here
Entity Linking links entities to a knowledge base, not for custom terms.
- ✗
Use Custom Text Classification
Why it's wrong here
Custom Text Classification is for classifying documents, not extracting entities.
- ✓
Train a custom NER model using Azure AI Language
Why this is correct
Custom NER can be trained on your specific medical terms.
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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.