Microsoft Power Platform Functional Consultant Exam PL-200: Power Virtual Agents Topics

Power Virtual Agents Topics

Question

Please select the two parts of the Power Virtual Agents topics.

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D. E.

Correct Answers: B and D

To create a Power Virtual Agents bot, you need to author the topic.

Topic authoring means to create a new topic and provide the set of trigger phrases that will invoke your bot.

Power Virtual Agents topics consist of two parts: Trigger phrases and Conversation nodes.

Trigger phrases are the list of phrases, keywords, or questions that triggers a bot to provide related information.

Conversation nodes define the bot's response to users' inquiries.

Nodes display messages, ask questions, and run actions.

Trigger phrases initiate the bot's topic.

You need to provide at least 5-10 semantically different trigger phrases for creating an effective topic (Number 1)

After you complete the trigger phrases list, you can add Conversation nodes to your bot using Authoring canvas (Number 2).

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Power Virtual Agents | WLBot

Home
Topics
Entities
Analytics
Publish
Manage
Details
Channels
Security

Skills

Store location

Setup — Analytics

Name *

Store location

Friendly name @

Store location chat

Description

Information about the closet store
location

*, Go to authoring c

Trigger phrases (5) ©

How might your customers ask about this topic? Try to start with 5-10 diverse phrases.

Enter a trigger phrase (2) Modified by

Are there any stores around the area
Status

Check store location

Closest store near me

Find me your nearest location

Store near me

Option A is incorrect because Entities represents information that the bot is trying to identify based on natural language understanding from the customer's conversation.

Custom Entities can extend your bot's “conversational” abilities to understand a specific domain.

Entities are not part of the topic authoring process.

Option C is incorrect because Messages are Conversation nodes' elements and not the main part of the topic authoring process.

Option E is incorrect because Questions are Conversation nodes' elements and not the main part of the topic authoring process.

For more information about Power Virtual Agents topics, please visit the below URL:

Sure, I'd be happy to explain the different parts of Power Virtual Agents topics that are listed in the exam question.

Power Virtual Agents is a chatbot building platform in the Microsoft Power Platform that enables users to create and deploy custom chatbots with little or no coding knowledge. The platform is designed to facilitate conversations between customers and businesses, and allows businesses to automate their customer service operations.

The two parts of Power Virtual Agents topics that are listed in the exam question are:

  1. Conversation Nodes: A conversation node is a component in Power Virtual Agents that represents a step in a chatbot conversation. Each node is designed to handle a specific aspect of the conversation, such as answering a question, collecting information from the user, or providing a recommendation. Conversation nodes can be linked together to create a flowchart that represents the conversation flow between the chatbot and the user.

  2. Trigger Phrases: A trigger phrase is a keyword or phrase that is used to initiate a chatbot conversation. When a user enters a trigger phrase in a chat window or on a website, the chatbot is activated and begins to interact with the user. Trigger phrases can be customized to fit the specific needs of a business, and can be designed to respond to specific keywords or phrases that are commonly used by customers.

While the other options listed in the exam question are also important components of Power Virtual Agents, they are not specifically related to the two parts mentioned in the question. Here is a brief explanation of the other options:

  • Entities: Entities are data elements that are used to identify and extract specific pieces of information from a user's input. For example, an entity can be used to extract a customer's name, email address, or phone number from a chat conversation.
  • Messages: Messages are the text or multimedia content that is sent between the chatbot and the user during a conversation. Messages can include text, images, videos, buttons, and other interactive elements.
  • Questions: Questions are a type of conversation node that is designed to prompt the user for specific information. A question node can be used to collect data from the user, such as their name, email address, or other details that are required to complete a task.