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Implement natural language processing solutionsmediumMultiple SelectObjective-mapped

AI-102 Practice Question: Implement natural language processing solutions

A healthcare organization is deploying a solution using Azure AI Language to extract medical entities from clinical notes. The solution must comply with HIPAA and support the following requirements: extract medication names, dosages, and frequencies; identify patient conditions; and recognize negated terms (e.g., 'no sign of infection'). Which THREE Azure AI Language features should the organization use?

⚠ Common exam trap

Many exam-takers confuse PII detection with healthcare entity extraction, or assume negation detection is a separate standalone feature rather than a built-in capability of the healthcare NER model.

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 Healthcare

Prebuilt NER for Healthcare is specifically designed to extract medical entities such as medication names, dosages, frequencies, and patient conditions from unstructured clinical text. It is a HIPAA-eligible Azure service that provides domain-specific entity categories, making it the correct choice for the healthcare use case described.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • PII detection

    Why it's wrong here

    PII detection extracts personal identifiable information, not clinical entities relevant to the requirements.

  • Prebuilt NER for Healthcare

    Why this is correct

    Prebuilt NER for Healthcare recognizes common clinical entities such as conditions, symptoms, and procedures.

  • Prebuilt NER for Finance

    Why it's wrong here

    Prebuilt NER for Finance is designed for financial documents, not healthcare.

  • Negation detection

    Why this is correct

    Negation detection identifies negated phrases like 'no sign of infection' to avoid false positives.

  • Custom Named Entity Recognition (NER)

    Why this is correct

    Custom NER allows extracting custom entities like medication names, dosages, and frequencies tailored to the domain.

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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.