Implement knowledge mining and information extraction solutions →mediumMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
You are building a knowledge mining solution that indexes technical manuals in multiple languages. The solution must enable users to search in their native language and retrieve results in the same language. Which approach should you use?
⚠ Common exam trap
Many exam-takers assume translation or generic analyzers are sufficient, overlooking that Azure AI Search's language-specific analyzers are designed to preserve linguistic integrity and meet the exact requirement of native-language search and retrieval without cross-language conversion.
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
✓
Use language-specific analyzers in the Azure AI Search index for each language
Azure AI Search supports language-specific analyzers (e.g., 'de.microsoft' for German, 'fr.microsoft' for French) that apply linguistic rules such as stemming, lemmatization, and stop-word removal tailored to each language. This ensures that queries and documents are processed in the same language, enabling users to search and retrieve results in their native language without translation loss.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Detect the language of the query using Azure AI Language and then use a generic analyzer
Why it's wrong here
Generic analyzer does not provide language-specific improvements.
- ✗
Translate all queries to English using Azure AI Translator before searching
Why it's wrong here
Translation may introduce errors and does not preserve original language results.
- ✗
Use a single non-language-specific analyzer like 'standard.lucene' for all documents
Why it's wrong here
Standard Lucene analyzer does not handle language-specific features.
- ✓
Use language-specific analyzers in the Azure AI Search index for each language
Why this is correct
Language analyzers provide stemming and stopword removal per language, improving search relevance.
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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.