AI-103 Text Analysis Practice Question
You are processing customer feedback using sentiment analysis in the Azure AI Language service. You need to extract finer-grained information about specific product attributes mentioned in the reviews (e.g., finding out that the screen is bright but the battery life is poor). Which feature should you enable in your API request?
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
✓
Opinion mining
Opinion mining is an extension of sentiment analysis that provides more granular information about the opinions related to product or service attributes (aspect-based sentiment analysis).
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Opinion mining
Why this is correct
Opinion mining performs aspect-based sentiment analysis, linking sentiments directly to target features or aspects in the text.
- ✗
PII detection
Why it's wrong here
PII detection is used to redact or identify personally identifiable information such as phone numbers and email addresses.
- ✗
Language detection
Why it's wrong here
Language detection identifies the language of the input document.
- ✗
Custom text classification
Why it's wrong here
Custom text classification allows you to label documents into custom categories, not analyze sub-sentiments for attributes.
About these practice questions
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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.