AI-103 Text Analysis Practice Question
You are building an automated support ticketing system. You need to extract names, email addresses, and phone numbers from user messages while leaving non-sensitive text untouched. Which feature of Azure AI Language should you use?
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
✓
Personally Identifiable Information (PII) detection
PII detection identifies sensitive personal information and allows you to redact or mask those entities.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Key phrase extraction
Why it's wrong here
Key phrases do not isolate personal data.
- ✓
Personally Identifiable Information (PII) detection
Why this is correct
PII detection specifically locates and redacts sensitive personal data elements.
- ✗
Named Entity Recognition (NER)
Why it's wrong here
Standard NER extracts public entities like organizations and locations, not specifically configured for PII redaction workflows.
- ✗
Custom text classification
Why it's wrong here
Classification assigns document-level labels.
About these practice questions
One of 510 original AI-103 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-103 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-103 exam.