AI-103 Text Analysis Practice Question
You are implementing opinion mining in an application that analyzes hotel reviews. Which THREE pieces of information does opinion mining return for an evaluated sentence? (Choose three.)
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
✓
Sentiment polarity (positive, negative, neutral) for the aspect
Opinion mining returns aspect targets (e.g., 'bed'), assessments (e.g., 'comfortable'), and sentiment polarities (positive, negative, neutral) for each aspect.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Compiler error logs for client application code
Why it's wrong here
Compiler logs are development artifacts, not API outputs.
- ✓
Sentiment polarity (positive, negative, neutral) for the aspect
Why this is correct
Polarity is evaluated per aspect target.
- ✓
Target aspect (e.g., 'room', 'staff')
Why this is correct
Opinion mining extracts aspect targets.
- ✓
Assessment evaluation (e.g., 'clean', 'rude')
Why this is correct
Opinion mining extracts assessments related to targets.
- ✗
Network bandwidth utilization metrics
Why it's wrong here
Bandwidth metrics are network telemetry, not opinion mining results.
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.