AI-102 Practice Question: Implement natural language processing solutions
A hospital uses Azure Cognitive Service for Language to extract medical entities from clinical notes. The extraction accuracy for medication names and dosages is low. The engineer needs to improve performance without adding new training data. Which solution should the engineer implement?
⚠ Common exam trap
Candidates often assume 'Text Analytics for Health' is a trainable model (like custom NER) and choose Option C, not realizing it is a prebuilt, non-retrainable service that can only be extended via custom entity recognition with a prebuilt component.
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
✓
Use custom entity recognition with a prebuilt healthcare entity component.
The engineer can use custom entity recognition with a prebuilt healthcare entity component, which leverages the existing Text Analytics for Health model's pre-trained entities (including medication names and dosages) without requiring additional training data. This approach combines the prebuilt healthcare model's high accuracy for medical entities with custom entity recognition to fine-tune extraction for specific clinical notes, improving performance without adding new annotated data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Add more training data with annotated entities.
Why it's wrong here
The question states without adding new training data.
- ✓
Use custom entity recognition with a prebuilt healthcare entity component.
Why this is correct
This combines custom and prebuilt entities to improve accuracy.
- ✗
Retrain the Text Analytics for Health model with additional labeled data.
Why it's wrong here
The prebuilt model cannot be retrained.
- ✗
Increase the confidence threshold for entity extraction.
Why it's wrong here
This may improve precision but lower recall.
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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.