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Microsoft Power Platform Functional Consultant: PL-200 Exam Guide

You're reading from   Microsoft Power Platform Functional Consultant: PL-200 Exam Guide Learn how to customize and configure Microsoft Power Platform and prepare for the PL-200 exam

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781838985684
Length 648 pages
Edition 1st Edition
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Author (1):
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Julian Sharp Julian Sharp
Author Profile Icon Julian Sharp
Julian Sharp
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Table of Contents (34) Chapters Close

Preface 1. Section 1: Introduction
2. PL-200 Exam FREE CHAPTER 3. Section 2: Microsoft Dataverse
4. Power Platform 5. Data Modeling 6. Business Rules 7. Classic Workflows 8. Managing Data 9. Dataverse Settings 10. Security 11. Section 3: Power Apps
12. Model-Driven Apps 13. Canvas Apps 14. Portal Apps 15. Section 4: Automation
16. Power Automate Flows 17. Business Process Flows 18. UI Flows 19. Section 5: Power Virtual Agents
20. Creating Chatbots 21. Configuring Chatbots 22. Section 6: Integrations
23. Power BI 24. AI Builder 25. Microsoft 365 Integration 26. Application Life Cycle Management 27. Tips and Tricks 28. Practice Test 1 29. Answers to Practice Test 1 30. Practice Test 2 31. Answers to Practice Test 2 32. Assessments 33. Other Books You May Enjoy
AI Builder

AI Builder is a tool within the Power Platform that allows you to add Artificial Intelligence (AI) to your apps and flows without needing to be a data scientist or having to write code. AI Builder supports several Machine Learning (ML) models that allow you to extract information from text and images to enhance your data and make predictions from your data. With AI Builder, you can gain insights from your data and enable the users of your apps to make better decisions. 

This chapter describes how to create AI Builder models based on your data stored in the Common Data Service. By using AI, you can classify new data captured in your apps, and make predictions based on historical data.

The following topics will be covered in this chapter:

  • Introducing AI Builder
  • Building an AI Builder model
  • Preparing data for a model
  • Training and testing a model
  • Using...
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