PL-400 Labs

Lab exercises for PL-400: Microsoft Power Platform Developer. Includes Microsoft Learn and Microsoft GitHub labs.

Create and manage automated processes by using Power Automate Build an agent in Microsoft Copilot Studio Integrate model context protocol tools with agents in Microsoft Foundry Develop an agent with integrated tools Enhance agents with autonomous capabilities

Use variables and collections in a canvas app Work with Dataverse choice columns Work with Dataverse relational data Work with relational data in a canvas app Use the Concurrent function to test performance Debug and collaborate with Monitor in Power Apps Collect and analyze telemetry data Create a manual flow and use expressions Create a cloud flow with a Dataverse connector Prepare your development environment Use the Power Apps CLI Install and use developer tools Create a custom API Use client script to hide a form section Use table data from client script Customize the command bar Write your first plug-in Use graph API from a custom connector Use a policy template to dynamically set the host URL Use OpenAPI extensions Implement a webhook trigger Implement a polling trigger Use custom code in a custom connector Create an Azure Function by using Visual Studio Code Create a new connector in a solution Use a connector from Power Automate Create a custom connector from Visual Studio Create a custom connector from Azure API Management Create a custom connector from an OpenAPI document Test the custom connector Use the custom connector in a Power Apps canvas app Use Swashbuckle to create an OpenAPI document Publish an OpenAPI enabled web API to Azure App Service Integrate OpenAPI enabled web API with Azure API Management Import and export solutions Create recurring flows Monitor incoming emails Share flows

Validate lab environment Import solution Advanced canvas app techniques Power Automate Power Platform tools Power Platform APIs Client scripting Power Apps Component Framework Dataverse Plug-ins Integration with Azure