Book Image

Microsoft Power Platform Functional Consultant: PL-200 Exam Guide

By : Julian Sharp
Book Image

Microsoft Power Platform Functional Consultant: PL-200 Exam Guide

By: Julian Sharp

Overview of this book

The Power Platform Functional Consultant Associate (PL-200) exam tests and validates the practical skills of Power Platform users who are proficient in developing solutions by combining the tools in Power Platform and the Microsoft 365 ecosystem based on business needs. This certification guide offers complete, up-to-date coverage of the PL-200 exam so you can prepare effectively for the exam. Written in a clear, succinct way with self-assessment questions, exam tips, and mock exams with detailed explanations of solutions, this book covers common day-to-day activities involved in configuring Power Platform, such as managing entities, creating apps, implementing security, and managing system change. You'll also explore the role of a functional consultant in creating a data model in the Microsoft Dataverse (formerly Common Data Service). Moving ahead, you'll learn how to design the user experience and even build model-driven and canvas apps. As you progress, the book will show you how to manage automation and create chatbots. Finally, you'll understand how to display your data with Power BI and integrate Power Platform with Microsoft 365 and Microsoft Teams. By the end of this book, you'll be well-versed with the essential concepts and techniques required to prepare for the PL-200 certification exam.
Table of Contents (34 chapters)
Section 1: Introduction
Section 2: Microsoft Dataverse
Section 3: Power Apps
Section 4: Automation
Section 5: Power Virtual Agents
Section 6: Integrations

Introducing AI Builder prebuilt models

AI Builder prebuilt models are ML models that Microsoft has trained with vast amounts of data to meet specific business scenarios. Data scientists at Microsoft have evaluated these models for accuracy and verified that they perform well with a vast range of disparate data. You can use these models without having to prepare data and train the models.

AI Builder has the following pre-trained models:

  • Category Classification (Preview): Classifies text into categories associated with customer feedback, such as compliments, issues, and pricing. 
  • Entity Extraction: Recognizes and extracts standard business objects in data, such as dates, countries, names of people, phone numbers, and email addresses.
  • Key Phrase Extraction: Identifies the main talking points from a piece of text. You could use keyphrase extraction to find important phrases from customer feedback comments.
  • Language Detection: Identifies the language used in a piece of text.
  • Sentiment...