Implement knowledge mining and information extraction solutions →mediumMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
Your team is building a custom ChatGPT-like copilot using Azure AI Foundry that answers questions based on internal HR policies stored in SharePoint. The solution must retrieve only the most relevant documents to minimize token usage. Which Azure AI Search feature should you configure?
⚠ Common exam trap
Watch out — candidates often confuse semantic ranking with scoring profiles or filters, assuming any ranking or filtering mechanism can achieve semantic relevance, but only semantic ranking uses deep learning to understand query intent beyond keyword matching.
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
✓
Semantic ranking
Semantic ranking is the correct feature because it uses deep neural networks to re-rank search results based on semantic relevance to the query, ensuring only the most contextually appropriate documents are returned. This directly minimizes token usage by reducing the number of irrelevant documents passed to the copilot, which is critical for cost and performance in a ChatGPT-like system.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Synonyms
Why it's wrong here
Synonyms expand queries but do not re-rank results.
- ✗
Scoring profiles
Why it's wrong here
Scoring profiles are basic and less effective than semantic ranking.
- ✓
Semantic ranking
Why this is correct
Semantic ranking uses deep learning to re-rank results for better relevance.
- ✗
Filters
Why it's wrong here
Filters narrow results but do not improve ranking.
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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.