AI-102 · Question #122
You build a Conversational Azure AI Language Understanding model by using the Language Services portal. You export the model as a JSON file as shown in the following sample. To what does the…
The correct answer is A. by month. The Weather.Historic entity in a Conversational Azure AI Language Understanding model corresponds to the specific phrase "by month" within the utterance, indicating a temporal aspect for historical weather data.
Question
Options
- Aby month
- Bchicago
- Crain
- Dlocation
How the community answered
(41 responses)- A93% (38)
- B5% (2)
- C2% (1)
Why each option
The `Weather.Historic` entity in a Conversational Azure AI Language Understanding model corresponds to the specific phrase "by month" within the utterance, indicating a temporal aspect for historical weather data.
In a Language Understanding (LUIS) or Azure AI Language model, entities like `Weather.Historic` are used to extract specific pieces of information from an utterance; "by month" represents a temporal indicator that could be classified as historical context for weather. This entity would have been tagged as `Weather.Historic` during model training.
"chicago" is typically an entity representing a location, not a historical aspect of weather.
"rain" is an entity representing a type of weather condition, not a historical aspect or temporal qualifier.
"location" is a category for entities like cities or regions, not a specific utterance segment itself.
Concept tested: Azure AI Language entity extraction
Source: https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-entity-extraction/overview
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