AI-102 Practice Question: Implement natural language processing solutions
You need to use Azure AI Language to analyze customer feedback. Which THREE analysis types are available in the Text Analytics API?
⚠ Common exam trap
Azure often tests your ability to distinguish between Azure AI services, so the trap here is that candidates confuse the Text Analytics API with broader AI capabilities like image or speech processing, leading them to select options that belong to other services.
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 a core feature of the Azure AI Language Text Analytics API, allowing you to determine the overall positive, negative, or neutral sentiment of customer feedback. This capability is essential for analyzing customer opinions at scale, and it is explicitly listed as one of the three main analysis types (along with entity recognition and key phrase extraction) in the service documentation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Image captioning
Why it's wrong here
Part of Azure AI Vision.
- ✗
Speech-to-text
Why it's wrong here
Part of Azure AI Speech.
- ✓
Sentiment analysis
Why this is correct
Analyzes sentiment.
- ✓
Entity recognition
Why this is correct
Recognizes entities.
- ✓
Key phrase extraction
Why this is correct
Extracts key phrases.
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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.