AI-102 Practice Question: Implement natural language processing solutions
A company uses Azure AI Language to analyze customer reviews. They need to detect sentiment, extract key phrases, and identify named entities. Which THREE capabilities should they combine?
⚠ Common exam trap
Microsoft often tests the distinction between core NLP capabilities (sentiment, NER, key phrase extraction) and advanced features like summarization or language detection, so candidates may mistakenly include abstractive summarization because it sounds like it could help analyze reviews, but it is not one of the three required capabilities.
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
✓
Named entity recognition (NER)
Named entity recognition (NER) is correct because it identifies and categorizes named entities (e.g., people, organizations, locations) in text, which is essential for extracting structured information from customer reviews. Combined with sentiment analysis and key phrase extraction, NER enables a comprehensive understanding of customer feedback by detecting sentiment, surfacing important terms, and recognizing specific entities mentioned.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Named entity recognition (NER)
Why this is correct
NER identifies named entities.
- ✗
Abstractive summarization
Why it's wrong here
Summarization is not required for this task.
- ✗
Language detection
Why it's wrong here
Language detection is not needed if language is known.
- ✓
Key phrase extraction
Why this is correct
Key phrase extraction extracts key phrases.
- ✓
Sentiment analysis
Why this is correct
Sentiment analysis detects sentiment.
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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.