Create a technical design:
• Design technical architecture
• Design the technical architecture for a solution
• Design authentication and authorization strategy
• Determine whether requirements can be met with out-of-the-box functionality
• Determine when to use Logic Apps versus Microsoft Power Automate cloud flows
• Determine when to use serverless computing, plug-ins, or Power Automate
• Determine when to use standard tables, virtual tables, or connectors
• Describe security capabilities of the Microsoft Power Platform including data loss prevention (DLP) policies, security roles, teams, business units and row sharing
• Design solution components
• Design a Microsoft Dataverse data model
• Design Power Apps reusable components including canvas components, code components, and client scripting
• Design custom connectors
• Design Dataverse code components including plug-ins and Custom APIs
• Design automations including Power Automate cloud flows and real-time workflows
• Design Azure inbound and outbound integrations

Configure Microsoft Dataverse:
• Configure Microsoft Power Platform to support development
• Troubleshoot operational security issues found in testing
• Configure Dataverse security roles and column-level security profiles
• Configure business units and teams
• Manage Microsoft Power Platform environments for development
• Configure tables
• Configure table options
• Configure columns
• Configure relationships
• Configure business rules
• Implement application lifecycle management (ALM)
• Create solutions and manage solution components
• Import and export solutions
• Manage solution dependencies
• Create and use environment variables
• Describe the difference between unmanaged and managed solutions
• Manage solution layers

Create and configure Power Apps:
• Create model-driven apps
• Create and configure a model-driven app
• Configure forms
• Configure views
• Configure commands and buttons using Power Fx
• Configure commands and buttons using JavaScript
• Create canvas apps
• Create and configure a canvas app or a custom page
• Implement complex Power Fx formulas
• Build reusable component libraries
• Test an app by using Power Apps Test Studio
• Utilize Power Automate cloud flows to implement business logic from a canvas app
• Manage and troubleshoot apps
• Troubleshoot canvas and model-driven app issues by using Monitor and other browser-based debugging tools
• Identify and resolve connector and API errors
• Optimize canvas app performance including pre-loading data and query delegation
• Optimize model-driven app performance including forms and views

Extend the user experience:
• Apply business logic using client scripting
• Create JavaScript code that targets the Client API object model
• Describe event handler registration options
• Create client scripting that targets the Dataverse Web API
• Describe the client API object model
• Determine when to use business rules or client scripting
• Create a Power Apps Component Framework (PCF) code component
• Describe the code component lifecycle
• Initialize a new code component
• Configure a code component manifest
• Implement component interfaces
• Package, deploy, and consume a component
• Configure and use Device, Utility, and Web API features in component logic

Extend the platform:
• Create a Dataverse plug-in
• Describe the plug-in execution pipeline
• Describe the plug-in execution context
• Develop a plug-in that implements business logic
• Implement Pre Images and Post Images to support plug-in logic
• Perform operations in plug-ins by using the Organization service
• Optimize plug-in performance
• Configure a Dataverse Custom API message
• Register custom assemblies by using the Plug-in Registration Tool
• Develop a plug-in that implements a Custom API
• Create custom connectors
• Create an Open API definition for a REST API
• Configure API security
• Use policy templates to modify connector behavior at runtime
• Import definitions from existing APIs including Open API definitions, Azure services, and GitHub
• Create a custom connector for an Azure service
• Create an Azure Function to be used in a custom connector
• Extend an Open API definition for a custom connector
• Use platform APIs
• Perform operations with the Dataverse Web API
• Perform operations with the Organization service
• Implement API limit retry policies
• Optimize for performance, concurrency, transactions, and batching
• Perform authentication by using OAuth
• Process workloads by using Azure Functions
• Process long-running operations by using Azure Functions
• Configure scheduled and event-driven triggers in Azure Functions
• Authenticate to Microsoft Power Platform by using managed identities
• Configure Power Automate cloud flows
• Create and manage cloud flows
• Configure flow steps to use Dataverse connector actions and triggers
• Implement complex expressions in flow steps
• Manage sensitive input and output parameters
• Implement Azure Key Vault and Microsoft Entra service principals
• Describe flow control actions including error handling
• Add a cloud flow step to a business process flow
• Configure trigger filter and retry policies

Develop integrations:
• Publish and consume Dataverse events
• Publish a Dataverse event by using the IServiceEndpointNotificationService
• Publish a Dataverse event by using the Plug-in Registration Tool
• Register service endpoints including webhooks, Azure Service Bus, and Azure Event Hub
• Describe options for listening to Dataverse events
• Implement data synchronization with Dataverse
Describe synchronizing data by using change tracking
• Read table change records by using platform APIs
• Create and use alternate keys
• Use the UpsertRequest message to synchronize data