AI-103 Text Analysis Practice Question
Your application needs to scan user input for Personally Identifiable Information (PII) such as Social Security numbers, credit card numbers, and physical addresses before storing logs in a cloud database. Which Azure AI Language service feature should you invoke?
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
✓
Named Entity Recognition (NER) with PII detection
Named Entity Recognition (NER) for PII allows you to detect, categorize, and redact sensitive personal information in unstructured text.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Sentiment analysis
Why it's wrong here
Sentiment analysis evaluates the emotional polarity of the text.
- ✗
Text summarization
Why it's wrong here
Text summarization condenses text documents rather than finding and redacting PII.
- ✓
Named Entity Recognition (NER) with PII detection
Why this is correct
PII detection via NER identifies and can redact sensitive personal data elements.
- ✗
Key phrase extraction
Why it's wrong here
Key phrase extraction identifies main concepts, not sensitive PII entities.
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.