AI-102 Plan and manage an Azure AI solution Practice Question
Exhibit
{
"kind": "conversational",
"settings": {
"defaultLanguage": "en-us",
"enableMultiLanguage": false
},
"language": "en-us",
"intents": [
{
"name": "Greeting",
"trainingPhrases": ["hello", "hi", "good morning"]
},
{
"name": "CheckBalance",
"trainingPhrases": ["what is my balance", "check balance"]
}
]
}Refer to the exhibit. You are configuring a custom conversational language understanding project in Azure AI Language. The project currently has English training phrases. You need to add support for Spanish. The exhibit shows the current settings. What should you do?
⚠ Common exam trap
Many exam-takers assume they need separate projects for each language (Option A) or that enabling multilingual mode alone is sufficient without adding training phrases in the target language (Option C), overlooking the requirement to provide actual language-specific examples for the model to learn from.
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
✓
Set enableMultiLanguage to true and add Spanish training phrases
In Azure AI Language, a custom conversational language understanding (CLU) project can support multiple languages by setting the `enableMultiLanguage` property to `true` and then adding training phrases in the target language (Spanish) to the same project. This allows the model to learn intents and entities across languages without creating separate projects, leveraging the multilingual capabilities of the underlying LUIS-based engine.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create a new project for Spanish
Why it's wrong here
Can be done in one project with multi-language support.
- ✓
Set enableMultiLanguage to true and add Spanish training phrases
Why this is correct
Enables multi-language and provides training data.
- ✗
Set enableMultiLanguage to true and deploy
Why it's wrong here
Training phrases for Spanish are missing.
- ✗
Use Azure AI Translator to translate English phrases to Spanish
Why it's wrong here
Translator does not train the model; it only translates runtime input.
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