Implement knowledge mining and information extraction solutions →hardMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
Your organization uses Azure AI Search to index customer product reviews. The reviews are in English, Spanish, and French. You need to enable multi-lingual search so that a query in English returns relevant results from all three languages. What should you do?
⚠ Common exam trap
Many exam-takers assume translation (Option A) is the only way to achieve cross-language search, but Azure AI Search's language analyzers can directly index and query multi-lingual content without altering the original text.
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
✓
Create separate search fields for each language, each with the corresponding language analyzer (e.g., 'en.microsoft', 'es.microsoft', 'fr.microsoft').
Azure AI Search supports language-specific analyzers (e.g., 'en.microsoft', 'es.microsoft', 'fr.microsoft') that apply linguistic rules like stemming, lemmatization, and stop-word removal tailored to each language. By creating separate search fields with the corresponding analyzer, a query in English can match relevant terms across all three languages because the search engine evaluates the query against each field using its analyzer, allowing cross-language retrieval without translation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Azure AI Translator to translate all reviews to English before indexing.
Why it's wrong here
Translation loses original language nuances and is not necessary; Azure AI Search supports multi-lingual indexes.
- ✗
Use a single field with the 'standard' analyzer for all languages.
Why it's wrong here
The standard analyzer does not handle language-specific features like stemming, reducing recall.
- ✓
Create separate search fields for each language, each with the corresponding language analyzer (e.g., 'en.microsoft', 'es.microsoft', 'fr.microsoft').
Why this is correct
This allows language-specific stemming and tokenization, and you can search across all fields using searchFields parameter.
- ✗
Use the 'keyword' analyzer for all fields.
Why it's wrong here
Keyword analyzer treats entire content as one token, not suitable for full-text search.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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