AI-102 Practice Question: Implement natural language processing solutions
You need to analyze customer feedback to determine whether the sentiment is positive, negative, or neutral. Which Azure AI service should you use?
⚠ Common exam trap
Many candidates confuse Key Phrase Extraction or Named Entity Recognition with Sentiment Analysis, because they all involve analyzing text, but only Sentiment Analysis directly outputs positive/negative/neutral labels.
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
✓
Azure AI Language - Sentiment Analysis
Azure AI Language's Sentiment Analysis is the correct service because it is specifically designed to evaluate text and return sentiment labels (positive, negative, neutral) along with confidence scores. This directly matches the requirement to determine whether customer feedback sentiment is positive, negative, or neutral.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure AI Language - Key Phrase Extraction
Why it's wrong here
Key Phrase Extraction extracts main topics, not sentiment.
- ✗
Azure AI Language - Named Entity Recognition
Why it's wrong here
NER extracts entities, not sentiment.
- ✓
Azure AI Language - Sentiment Analysis
Why this is correct
Sentiment Analysis returns sentiment scores and labels.
- ✗
Azure AI Language - Language Detection
Why it's wrong here
Language Detection identifies language, not 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.