AI-102 Practice Question: Implement natural language processing solutions
You need to analyze customer call transcripts to identify positive and negative sentiment. Which Azure AI Language feature should you use?
⚠ Common exam trap
Many exam-takers confuse Key Phrase Extraction with Sentiment Analysis, assuming that identifying key topics inherently reveals sentiment, but Key Phrase Extraction provides no sentiment polarity or confidence scores.
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 Analysis
Sentiment Analysis is the correct Azure AI Language feature because it is specifically designed to evaluate text and determine whether the sentiment expressed is positive, negative, or neutral. For customer call transcripts, this feature analyzes each sentence or document and returns a sentiment label and confidence scores, directly addressing the requirement to identify positive and negative sentiment.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Language Detection
Why it's wrong here
Identifies language, not sentiment.
- ✗
Named Entity Recognition
Why it's wrong here
Identifies entities, not sentiment.
- ✗
Key Phrase Extraction
Why it's wrong here
Extracts key phrases, not sentiment.
- ✓
Sentiment Analysis
Why this is correct
Sentiment Analysis detects positive/negative sentiment.
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JA
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.