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AI-102 · Question #58

Drag and Drop Question You plan to build a chatbot to support task tracking. You create a Language Understanding service named lu1. You need to build a Language Understanding model to integrate into…

The correct answer is Add a new application.; Add the prebuilt domain ToDo.; Train the application.; Publish the application. The correct sequence minimizes development time by leveraging the prebuilt ToDo domain in LUIS, which already contains pre-defined intents and entities for task tracking (like adding, completing, and deleting tasks). After creating a new application within the lu1 service, you…

Submitted by chen.hong· Mar 30, 2026Build natural language understanding solutions using Azure Cognitive Services / Language Understanding (LUIS), specifically leveraging prebuilt domains to accelerate model development - aligns with the 'Build AI solutions with Azure Cognitive Services' domain of the AI-102 certification.

Question

Drag and Drop Question You plan to build a chatbot to support task tracking. You create a Language Understanding service named lu1. You need to build a Language Understanding model to integrate into the chatbot. The solution must minimize development time to build the model. Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. (Choose four.) Answer:

Exhibit

AI-102 question #58 exhibit

Answer Area

Drag items

Train the application.Publish the application.Add a new application.Add example utterances.Add the prebuilt domain ToDo.

Correct arrangement

  • Add a new application.
  • Add the prebuilt domain ToDo.
  • Train the application.
  • Publish the application.

Explanation

The correct sequence minimizes development time by leveraging the prebuilt ToDo domain in LUIS, which already contains pre-defined intents and entities for task tracking (like adding, completing, and deleting tasks). After creating a new application within the lu1 service, you add the prebuilt ToDo domain (avoiding manual intent/entity creation), then train the model to apply all configurations, and finally publish it so the chatbot can consume it via endpoint. This approach is the fastest path to a functional model because you skip the time-consuming manual process of defining intents, entities, and example utterances from scratch.

Topics

#Azure Language Understanding (LUIS)#Prebuilt Domains#Conversational AI#Chatbot Development

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