PL-100: Microsoft Power Platform App Maker

Create a high-level design
 identify required data sources for a business solution
 describe real-world objects as tables
 describe the expected user experience for targeted devices and describe the differences between Microsoft Power Platform app types
 create a high-level data model including source, volume, and intended uses

Identify Microsoft Power Platform components
 determine the required Power Apps app type
 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 unmanaged solutions
 describe uses cases for desktop flows
 describe use cases for chatbots

Design data models
 determine required tables
 identify relationships between tables
 identify columns and data types

Design the user interface (UI) for a business solution
 identify opportunities for component reuse
 apply UI standards
 identify the model-driven forms and Dataverse views that are needed

Design reporting
 define data output requirements
 define visualizations for Power BI dashboards
 define visualization requirements for model-driven dashboards

Manage Microsoft Power Platform development environments
 create a solution
 add existing apps and flows to a solution
 run solution checker and interpret results

Create model-driven apps
 compose model-driven apps
 create a site map
 create and configure Dataverse table forms
 create and configure Dataverse table views
 embed model-driven apps in Microsoft Teams channels
 embed a canvas app on a form in a model-driven app
 manage versions of canvas apps
 publish and share canvas apps
 share model-driven apps

Create canvas apps
 create canvas apps
 connect to data sources in canvas apps
 build canvas apps screens
 compose Microsoft Power Fx formulas
 implement collections and variables
 interpret App checker results
 add canvas app assets and components to screens

Configure Microsoft Dataverse
 create tables and table columns based on a data model
 link tables by using lookups or relationships
 load or create data records for testing and development
 publish customizations
 create Dataverse business rules
 configure security roles

Create Microsoft Power Automate flows
 create business process flows
 create cloud flows
 configure triggers
 build scheduled, automated, and instant flows
 configure flow steps
 test a flow
 implement common expressions and loops
 create adaptive cards for Microsoft Teams
 create and monitor approvals from Power Automate, Microsoft Teams, and SharePoint
 share flows

Create Microsoft Power Virtual Agents chatbots in Microsoft Teams
 create a chatbot
 test a chatbot
 publish a chatbot

Create Microsoft Power BI reports
 create Power BI report by using Power BI Desktop
 create Power BI report by using Power BI service
 embed canvas apps in Power Bi reports and dashboards
 share Power BI reports and dashboards

Implement other reports
 merge data from a data source into a Microsoft Word or Excel template
 create model-driven dashboards
 embed Power BI content in Power Apps

Describe AI Builder models
 identify model types including prebuilt and custom models
 describe the process for preparing data and training models
 use a model from within Power Automate or Power Apps