AI-102 Practice Question: Implement natural language processing solutions
A healthcare organization uses Azure AI Language to extract medical entities from clinical notes. The solution must comply with HIPAA and redact protected health information (PHI). Which capability should the team configure?
⚠ Common exam trap
A common mix-up: candidates confuse Azure AI Document Intelligence's general document extraction with Text Analytics for health's specialized clinical NLP, or assume Custom NER can handle PHI redaction without realizing it lacks built-in HIPAA-compliant detection and masking.
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
✓
Text Analytics for health
Text Analytics for health is a specialized Azure AI Language feature designed to extract and label medical entities from unstructured clinical text, such as diagnoses, medications, and procedures. It also includes a built-in PHI detection and redaction capability that automatically identifies and masks protected health information, enabling HIPAA compliance without requiring custom model training.
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 Purview Information Protection
Why it's wrong here
Purview is for data governance, not real-time redaction.
- ✗
Custom named entity recognition (NER)
Why it's wrong here
Custom NER does not automatically redact PHI.
- ✗
Azure AI Document Intelligence
Why it's wrong here
Document Intelligence is for document processing, not language-specific PHI.
- ✓
Text Analytics for health
Why this is correct
Text Analytics for health includes PHI detection and redaction.
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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.