AI-102 Plan and manage an Azure AI solution Practice Question
A team is building a chatbot using Azure Bot Service and Language Understanding (LUIS). The chatbot must handle multiple languages. What should you configure?
⚠ Common exam trap
Candidates often assume a single LUIS app can handle multiple languages by simply adding multilingual utterances, but LUIS explicitly requires separate apps per language because its models are language-specific and cannot generalize across languages.
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 LUIS applications for each language
LUIS does not natively support multilingual models within a single app. Each LUIS application is designed for a single language, so to handle multiple languages, you must create separate LUIS apps—one per language—and route user utterances to the appropriate app based on the detected language. This ensures accurate intent and entity recognition tailored to each language's linguistic patterns.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Configure a single LUIS app with multilingual utterances
Why it's wrong here
LUIS apps are monolingual; they do not support multiple languages in one app.
- ✗
Use Azure AI Search to index translated content
Why it's wrong here
Search is not designed for language handling in chatbots.
- ✗
Use Azure Translator to translate utterances before calling LUIS
Why it's wrong here
Translating before LUIS can lose nuance; native LUIS per language is better.
- ✓
Create separate LUIS applications for each language
Why this is correct
Each LUIS app supports one language; multiple apps are needed for multiple languages.
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