Free Udemy Course: PL-400: Microsoft Power Platform Developer - Jun/2025

Skills at a glanceCreate a technical design (10–15%)Build Power Platform solutions (10–15%)Implement Power Apps improvements (5–10%)Extend the user experience (10–15%)Extend the platform (40–45%)Develop integrations (5–10%)Create a technical design (10–15%)Design technical architectureDesign the technical architecture for a solutionDesign the authentication and authorization strategyDetermine whether requirements can be met with out-of-the-box functionalityDetermine where to run business logic including cloud computing, client-side processing, business rules, plug-ins, and Power AutomateDetermine when to use standard tables, virtual tables, elastic tables, or connectorsDetermine the impact of security features of the Microsoft Power Platform including data loss prevention (DLP) policies, security roles, teams, business units, and row sharing on your business solutionDesign solution componentsDesign Power Apps reusable components including canvas components, code components, and client scriptingDesign custom connectorsDesign Dataverse code components including plug-ins and Custom APIsDesign automations including Power Automate cloud flowsDesign inbound and outbound integrations using Dataverse and AzureBuild Power Platform solutions (10–15%)Configure and troubleshoot Microsoft Power PlatformTroubleshoot operational security issues found in testingConfigure Dataverse security roles to support code componentsManage Microsoft Power Platform environments for developmentImplement application lifecycle management (ALM)Manage solution dependenciesCreate and use environment variablesDetermine when to use unmanaged and managed solutionsManage solution layersImplement Power Apps improvements (5–10%)Implement advanced canvas apps featuresImplement complex Power Fx formulasBuild reusable component librariesUtilize Power Automate cloud flows to implement business logic from a canvas appOptimize and troubleshoot appsTroubleshoot canvas and model-driven app issues by using Monitor and other browser-based debugging toolsOptimize canvas app performance including pre-loading data and query delegationOptimize model-driven app performance including forms and viewsExtend the user experience (10–15%)Apply business logic in model-driven apps using client scriptingBuild JavaScript code that targets the Client API object modelDetermine event handler registration approachCreate client scripting that targets the Dataverse Web APIConfigure commands and buttons using Power Fx and JavaScriptCreate a Power Apps component framework (PCF) code componentDemonstrate the use of the different code component lifecycle eventsInitialize a new code componentConfigure a code component manifestImplement component interfacesPackage, deploy, and consume a componentConfigure and use Device, Utility, and Web API features in component logicExtend the platform (40–45%)Create a Dataverse plug-inDemonstrate the use of the different event execution pipeline stagesDevelop a plug-in that uses the execution contextDevelop a plug-in that implements business logicImplement Pre Images and Post Images to support plug-in logicPerform operations in plug-ins by using the Organization serviceOptimize plug-in performanceConfigure a Dataverse custom API messageRegister plug-in components by using the Plug-in Registration ToolDevelop a plug-in that implements a custom APIConfigure Dataverse business eventsCreate custom connectorsCreate an Open API definition for an existing REST APIImplement authentication for custom connectorsConfigure policy templates to modify connector behavior at runtimeImport definitions from existing APIs including Open API definitions, Azure services, and GitHubCreate a custom connector for an Azure serviceDevelop an Azure Function to be used in a custom connectorExtend the Open API definition for a custom connectorDevelop code for a custom connector to transform dataUse platform APIsPerform operations with the Dataverse Web APIPerform operations with the Organization serviceImplement API limit retry policiesOptimize for performance, concurrency, transactions, and bulk operationsPerform authentication by using OAuthProcess workloads by using Azure FunctionsProcess long-running operations by using Azure FunctionsConfigure scheduled and event-driven triggers in Azure FunctionsAuthenticate to Microsoft Power Platform by using managed identitiesConfigure Power Automate cloud flowsImplement flow steps to use Dataverse connector actions and triggersImplement complex expressions in flow stepsManage sensitive input and output parametersImplement Azure Key Vault and Microsoft Entra ID service principalsImplement flow control actions including error handlingConfigure trigger filter and retry policiesDevelop reuseable logic by using child flowsDevelop integrations (5–10%)Publish and consume Dataverse eventsPublish a Dataverse event by using the IServiceEndpointNotificationServicePublish a Dataverse event by using the Plug-in Registration ToolRegister service endpoints including webhooks, Azure Service Bus, and Azure Event HubRecommend options for listening to Dataverse eventsImplement data synchronization with DataversePerform data synchronization by using change trackingDevelop code that utilizes alternate keysUtilize the UpsertRequest message to synchronize data