Design and manage business solutions:
• Identify Microsoft Power Platform components
• Determine the required Microsoft Power Apps app type for a given business scenario
• Determine which Microsoft Power Platform components meet a given business scenario
• Describe business logic in Microsoft Dataverse
• Describe connectors
• Describe use cases for cloud flows and desktop flows
• Describe use cases for AI and Microsoft Copilot in Microsoft Power Platform
• Describe Microsoft Power Platform environments
• Describe use cases for Power Automate Process Mining
• Determine reporting options for given business scenarios including views, Microsoft Power BI visualizations, and dashboards
• Configure and manage Microsoft Dataverse
• Create tables and table columns based on a data model
• Link tables by using lookups
• Configure Dataverse business rules
• Describe how Dataverse uses role-based access control (RBAC)
• Add table permissions to existing Dataverse security roles
• Create tables and table columns by using Copilot in Dataverse
• Import and export data by using Microsoft Excel
• Determine when to use Microsoft Dataverse for Teams or Microsoft Dataverse
• Manage Microsoft Power Platform components during development
• Create a Dataverse solution
• Export and import a Dataverse solution
• Export and import a non-solution canvas app or a non-solution cloud flow
• Add existing components to a Dataverse solution

Analyze and visualize data:
• Create and consume Microsoft Power BI dashboards
• Create a simple report from an existing dataset by using Power BI Service
• Create Power BI dashboards from existing reports
• 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

Create business solutions:
• Create and manage model-driven apps
• Create and configure 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 app dashboards
• Create and configure model-driven app charts
• 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
• Add canvas app assets and components
• Describe modern controls and themes
• Create and manage screens for canvas apps
• Determine when to use screens, forms, containers, galleries, buttons, labels, input controls, images, charts, and custom controls
• Configure UI elements
• Implement Power Fx formulas
• Implement collections and variables
• Run a Microsoft Power Automate cloud flow from a canvas app
• Create Power Automate cloud flows
• Describe types of triggers
• Configure triggers
• Configure flow steps
• Test and troubleshoot a cloud flow
• Implement conditional logic
• Create approvals and monitor the approval process by using Power Automate and Microsoft Teams
• Share cloud flows