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PL-100 · Question #210

A clothing retailer is creating a Power Virtual Agents chatbot in Microsoft Teams. The chatbot will use Microsoft Dataverse for Teams to provide sales metrics by store. A user wants to be able to…

The correct answer is C. Topics. In Power Virtual Agents, Topics define conversation flows and contain trigger phrases - the words or sentences that activate the topic. To handle synonyms like 'jeans', 'slacks', and 'trousers' all mapping to a pants sales topic, you add all of these terms as trigger phrases…

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Question

A clothing retailer is creating a Power Virtual Agents chatbot in Microsoft Teams. The chatbot will use Microsoft Dataverse for Teams to provide sales metrics by store. A user wants to be able to ask the chatbot to see all the sales for pants. You need to configure the chatbot to provide sales data for pants even when a user enters the terms jeans, slacks, or trousers. Which chatbot component should you use?

Options

  • ASkills
  • BTables
  • CTopics
  • DSupported languages
  • EEntities

How the community answered

(25 responses)
  • A
    4% (1)
  • C
    96% (24)

Explanation

In Power Virtual Agents, Topics define conversation flows and contain trigger phrases - the words or sentences that activate the topic. To handle synonyms like 'jeans', 'slacks', and 'trousers' all mapping to a pants sales topic, you add all of these terms as trigger phrases within a single Topic. When a user types any of those words, PVA matches the utterance to the correct topic and returns the appropriate sales data. Entities are used to extract specific variable values mid-conversation (like a product name or store), Skills extend the bot with external Bot Framework capabilities, and Supported Languages controls multilingual UI - none of these address the synonym-to-topic mapping requirement.

Topics

#Power Virtual Agents#Chatbot configuration#Topics#Entities

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