Implement knowledge mining and information extraction solutions →easyMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You are building a knowledge mining solution to extract insights from customer support call transcripts. The solution must identify the customer's issue, the resolution provided, and the sentiment of the call. Which combination of Azure AI services should you use?
⚠ Common exam trap
This question tests the misconception that multiple services are needed for a task that a single service can handle, leading candidates to overcomplicate the solution with unnecessary combinations like Speech + Search or Document Intelligence + Language.
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 (key phrase extraction, entity recognition, sentiment analysis)
Azure AI Language provides the specific capabilities needed: key phrase extraction to identify the customer's issue, entity recognition to identify the resolution, and sentiment analysis to determine the call sentiment. These are all built-in features of the Language service, making it the single-service solution for this knowledge mining task.
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 Translator and Azure AI Search
Why it's wrong here
Translation is not needed; search does not extract issues or sentiment.
- ✗
Azure AI Speech and Azure AI Search
Why it's wrong here
Azure AI Speech transcribes audio but doesn't analyze text; Azure AI Search indexes but doesn't extract insights.
- ✗
Azure AI Document Intelligence and Azure AI Language
Why it's wrong here
Document Intelligence is for layout-based documents, not call transcripts.
- ✓
Azure AI Language (key phrase extraction, entity recognition, sentiment analysis)
Why this is correct
Azure AI Language provides built-in capabilities for extracting issues, resolutions, and sentiment from text.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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