Microsoft Power Platform App Maker (PL-100) Practice Exam

Microsoft Power Platform App Maker (PL-100) Practice Exam


About Microsoft Power Platform App Maker (PL-100) Exam

This Microsoft PL-100 exam measures your ability to accomplish the following technical tasks: design solutions; create solutions; analyze data and implement and manage solutions.


Skills Acquired

Microsoft Power Platform App Maker (PL-100) acquire skills to perform the following tasks -

  • Builds solutions to simplify, automate, and transform tasks and processes for themselves and their team where they have deep expertise in the solution domain.
  • Skilled in key technical business analyst tasks such as data modelling, basic UX design, requirements analysis, process analysis, etc.
  • Create and enforce business processes, structure digital collection of information, improve the efficiency of repeatable tasks, and automates business processes.
  • Able to use the maker tools of Power Platform to solve business problems.


Who should take the Microsoft PL-100 exam?

Candidates taking the PL-100 exam should have the ability to accomplish the technical tasks including - 

  • Designing business solutions
  • Analyzing and visualising data
  • Creating business solutions


Microsoft PL-100 Exam Guide

The Microsoft Power Platform App Maker (PL-100) Exam covers the latest exam updates and topics as per exam updates as of March 15, 2023 - 

Module 1 - Design solutions (20-25%)

1.1 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
  • Describe the expected logic and steps that a process will execute

1.2 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 uses cases for cloud flows and desktop flows
  • Describe use cases for chatbots

1.3 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 Dataverse views that are needed

1.4 Design reporting and visualizations for business solutions

  • Select reporting options for business solutions including views, Microsoft 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%)

2.1 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
  • Create and configure model-driven dashboards

2.2 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 Microsoft Power Automate or Microsoft Power Apps


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

3.1 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

3.2 Create model-driven apps

  • Create 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

3.3 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

3.4 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 cloud flow from a canvas app

3.5 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

3.6 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 and interpret flow checker results
  • 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

3.7 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


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