AI-102 Practice Question: Implement natural language processing solutions
You are building a chatbot that must handle customer inquiries about order status. The solution must use Azure AI Language and support multiple languages. You need to configure the project to detect language automatically from user input. Which setting should you enable?
⚠ Common exam trap
It's easy for candidates to confuse 'multi-lingual detection' with 'spelling correction' or 'conversation summarization', mistakenly thinking those features handle language identification, when in fact they address different aspects of text processing.
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
✓
Enable multi-lingual detection in the project language settings.
Azure AI Language's multi-lingual detection setting enables the project to automatically identify the language of user input without requiring explicit language selection. This is essential for a chatbot handling customer inquiries in multiple languages, as it allows the service to route the input to the appropriate language-specific model or processing pipeline, ensuring accurate order status responses across languages.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set the primary language to English only.
Why it's wrong here
Limits the chatbot to English only, not supporting multiple languages.
- ✗
Use the conversation summarization feature.
Why it's wrong here
Conversation summarization is for summarizing conversations, not language detection.
- ✓
Enable multi-lingual detection in the project language settings.
Why this is correct
Allows the project to automatically detect the language of each utterance.
- ✗
Enable spelling correction in the project settings.
Why it's wrong here
Spelling correction does not handle language detection.
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