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
A single LUIS app holds one language model per culture, so mixing multilingual utterances degrades intent classification accuracy. Separate LUIS apps per language are required. The single-app approach appeals because it centralises authoring, and it would suffice for a monolingual bot with regional utterance variants.
- ✗
Use Azure AI Search to index translated content
Why it's wrong here
Azure AI Search indexes and retrieves documents; it cannot interpret utterances or resolve intents for a chatbot. It is tempting because it handles multilingual content well, but LUIS requires language-specific model configuration, not a search index, to understand utterances across languages.
- ✗
Use Azure Translator to translate utterances before calling LUIS
Why it's wrong here
Translating utterances before LUIS discards the original language, so LUIS cannot apply its native multilingual understanding or return language-specific intents and entities. It is tempting because Translator is an Azure AI service, but LUIS supports multiple languages directly through its own language configuration.
- ✓
Create separate LUIS applications for each language
Why this is correct
Separate LUIS applications per language satisfy the multilingual constraint because LUIS models are trained on a single language's utterances; a model cannot interpret intents across languages. Each app holds its own intents, entities and utterances, and the bot routes utterances to the matching app based on detected locale.
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