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

AI Builder is a component of the Power Platform solution that allows you to easily add AI to predict outcomes to help improve business performance without writing code. You do not need to understand ML or learn Python to use AI Builder. Microsoft makes it easy both to create AI models and then to consume those models in the Power Platform.

ML is a technique used to create predictive models based on relationships in data. Normally, to use ML, you need to understand the different algorithms, how the algorithms can be applied to data, and become an expert at making sure your model performs well with different data. Microsoft Azure provides many tools for AI, including AutoML, ML Designer, Azure Databricks, and Cognitive Services. 

The learning curve to be able to use Azure AI tools and services is very steep. AI Builder eliminates this learning curve. AI Builder is a software-as-a-service solution that simplifies building and using ML models in business...