AI-102 Plan and manage an Azure AI solution Practice Question
A company uses Azure AI Search to index product catalogs. The search must support multilingual queries and return results in the user's language. What should you configure?
⚠ Common exam trap
Many candidates confuse semantic search (which improves relevance via deep learning) with language-specific analysis, not realizing that semantic search still requires language analyzers for proper tokenization and stemming in multilingual scenarios.
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
✓
Assign appropriate language analyzers to fields
Azure AI Search allows you to assign language-specific analyzers (e.g., Microsoft English, French, Arabic) to individual fields in the index. When a query is submitted, the search engine uses the analyzer associated with the field to tokenize and normalize the text according to the linguistic rules of that language, enabling accurate multilingual search and returning results in the user's language.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Assign appropriate language analyzers to fields
Why this is correct
Language analyzers handle language-specific tokenization and stemming.
- ✗
Create synonym maps for each language
Why it's wrong here
Synonym maps expand terms but do not provide language-specific analysis.
- ✗
Configure scoring profiles based on language
Why it's wrong here
Scoring profiles affect ranking, not language processing.
- ✗
Enable semantic search
Why it's wrong here
Semantic search improves understanding but does not handle multiple languages natively.
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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.