PL-100: Power Platform App Maker: Practice Tests 2023

The main goal of these practice tests is to help candidates perform better on the exam. By the end of this path, you will learn so much about Microsoft Power Platform that you will not only be confident to attempt the PL 100 Exam but also confident to work on any live project using Microsoft Power Platform technologies. The course content is primarily driven by exam objectives and hence covers all exam topics under PL - 100.

The Exam outline is as below:

• Design business solutions (20–25%)

• Analyze and visualize data (10–15%)

• Create business solutions (60–65%)

Features and benefits:

• Answers & Resources included: Total number of questions = 174 distinct questions / 3 tests = 58 questions each

• The correct detailed answers are provided to each question, so you can learn and practice during preparing for a real exam.

• Performance-based practice tests provide the student with a better learning experience

Microsoft PL-100 Exam Guide

The Microsoft Power Platform App Maker (PL-100) Exam covers the latest exam updates and topics -

Module 1 - Design solutions (20-25%)

Create a high-level design

• Identify existing data sources needed to support a business solution

• Describe the expected user experience for targeted devices and describe the differences between Microsoft Power Platform app types

• Create a high-level structure for a new data source

Identify required Power Platform components

• Determine the required Power Apps app type for a business solution

• Determine when to use Dataverse for Teams

• Map a problem domain to Microsoft Power Platform tools

• Identify options for implementing business logic

• Describe connectors

• Describe use cases for cloud flows and desktop flows

• Describe use cases for chatbots in Microsoft Teams

Design the user interface (UI) for a business solution

• Identify opportunities for component reuse

• Select UI elements for canvas apps

• Identify the model-driven forms and Microsoft Dataverse views that are needed

Design reporting and visualizations for business solutions

• Select reporting options for business solutions including views, Power BI visualizations, and dashboards

• Define visualizations for Power BI dashboards

• Define visualizations for model-driven dashboards

• Define visualizations for canvas apps

Module 2 - Analyze and visualize data (10–15%)

Create and consume Power BI dashboards

• Create a simple report from an existing dataset by using Power BI Service

• Create Power BI dashboards from existing reports

• Create and configure model-driven dashboards

• Embed Power BI dashboards and tiles in canvas apps and model-driven apps

• Share Power BI dashboards

Describe AI Builder models

• Describe use cases for AI Builder

• Describe the differences between prebuilt models and custom models

• Describe the process for training custom models

• Use a model from within Power Automate or Power Apps

Module 3 - Create business solutions (60–65%)

Manage Microsoft Power Platform components during the development

• Create a Dataverse solution

• Import a Dataverse solution

• Import or export a canvas app or a cloud flow

• Add existing apps and flows to a Dataverse solution

Create model-driven apps

• Compose model-driven apps

• Create and configure Dataverse table forms

• Create and configure Dataverse table views

• Share model-driven apps with other users and groups

• Create and configure model-driven dashboards

Create and manage canvas apps

• Connect to data sources in canvas apps

• Interpret App Checker results

• Manage versions of canvas apps

• Publish canvas apps

• Share canvas apps with other users and groups

• Build canvas apps screens

• Add canvas app assets and components to screens

Create screens for canvas apps

• Determine when to use forms, galleries, buttons, labels, input controls, images, and custom controls

• Configure UI elements

• Implement Power Fx formulas

• Implement collections and variables

• Run a Power Automate flow from a canvas app

Configure Microsoft Dataverse

• Create tables and table columns based on a data model

• Link tables by using lookups

• Describe use cases and capabilities of business rules

• Create Dataverse business rules

• Describe how Dataverse uses role-based access control (RBAC)

• Add table permissions to existing Dataverse security roles

Create Power Automate flows

• Describe types of triggers for cloud flows

• Create cloud flows

• Configure triggers for cloud flows

• Configure flow steps

• Test a cloud flow

• Implement conditional logic for a cloud flow

• Create approvals and monitor the approval process by using Power Automate and Microsoft Teams

• Share cloud flows

• Create a desktop flow for personal use

Create Power Virtual Agents chatbots in Microsoft Teams

• Identify use cases and capabilities for chatbots

• Create a chatbot that uses topics and trigger phrases

• Test a chatbot

• Publish a chatbot