Implement knowledge mining and information extraction solutions →easyMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You are using Azure AI Language to perform entity recognition on customer feedback. You need to identify the sentiment expressed towards specific entities. Which feature should you use?
⚠ Common exam trap
It's easy for candidates to confuse Named Entity Recognition (NER) with the ability to extract sentiment about entities, but NER only identifies entities without any sentiment analysis, while opinion mining is the specific feature that combines entity detection with sentiment scoring.
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 with opinion mining
Sentiment analysis with opinion mining is the correct feature because it not only detects the overall sentiment of a text but also associates specific sentiments with particular entities or aspects mentioned in the text. This allows you to determine, for example, that a customer feels positively about 'product quality' but negatively about 'customer support', which is exactly what the question requires.
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 it's wrong here
NER identifies entities but does not provide sentiment analysis.
- ✓
Sentiment analysis with opinion mining
Why this is correct
Opinion mining provides sentiment at the entity or aspect level.
- ✗
Entity linking
Why it's wrong here
Entity linking disambiguates entities to knowledge bases, not sentiment.
- ✗
Key phrase extraction
Why it's wrong here
Key phrase extraction identifies important phrases but not sentiment per entity.
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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.