AI-102 Plan and manage an Azure AI solution Practice Question
You are deploying a chatbot using Azure AI Bot Service integrated with Azure AI Language for natural language understanding. The bot must be able to handle multiple languages and route queries to the appropriate language model. What should you configure?
⚠ Common exam trap
Many exam-takers assume translation (Option A) is necessary for multilingual support, but Azure AI Language's native multi-language capability eliminates the need for a separate translation step, directly handling multiple languages within a single project.
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 Azure AI Language with a multi-language project and enable language detection
Azure AI Language supports multi-language projects that allow you to train a single model to understand multiple languages. By enabling language detection, the bot can automatically identify the input language and route the query to the appropriate language-specific model or intent recognition within the same project, eliminating the need for separate deployments or translation steps.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Deploy Azure AI Translator to translate all input to English before processing
Why it's wrong here
Translator does not provide native NLU; translation may lose nuance.
- ✗
Deploy the bot in multiple regions, each with a different language model
Why it's wrong here
Inefficient and doesn't leverage multi-language support.
- ✓
Use Azure AI Language with a multi-language project and enable language detection
Why this is correct
Azure AI Language supports multiple languages and can detect language automatically.
- ✗
Use Azure AI Search to route queries based on language
Why it's wrong here
Azure AI Search is not designed for language routing.
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