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

Data modeling

Data modeling is the process of identifying entities, fields, and relationships. The solution architect is responsible for defining the data model. A functional consultant may assist in the data modeling process. Data modeling is a skill and is something you get a lot better at with experience.

One of the key activities in the initial stages of your project is to create a high-level Entity Relationship Diagram (ERD) showing the entities and their relationships. An ERD helps the project team and business stakeholders understand the data in your system and how it relates to the other data.

Data modeling sounds simple, but it is anything but simple. At a base level, it involves identifying the reuse of existing entities, identifying new entities, determining the ordinality and cardinality of relationships between entities, and choosing fields and their data types. You will use techniques such as data normalization to help guide you in building your ERD. ...