PL-400 Microsoft Power Platform Developer

Microsoft Power Platform Developer -koulutuksessa käydään läpi kuinka pilvipohjaisen kehitysalustan, Microsoft Power Platformin avulla voidaan automatisoida ja yksinkertaistaa liiketoiminnan prosesseja ja tehtäviä.

Tavoite

Opi suunnittelemaan, kehittämään ja turvaamaan Power Platform-ratkaisuja sekä tekemään vianmäärityksiä. Lisäksi opit rakentamaan liiketoimintaratkaisuja Power Appsille (canvas ja model driven apps), Power Automatelle, Power Appsin Component Frameworkille (PCF), Power Apps portalsille sekä Dataverselle.

Kenelle

Koulutus sopii sovelluskehittäjille, jotka haluavat laajentaa osaamistaan Power Platform-ratkaisujen toteuttamiseen.

Lisätiedot

Koulutus valmentaa Microsoftin viralliseen PL-400 Microsoft Power Platform Developer -sertifiointitestiin.

Koulutuksen sisältö

• Design the technical architecture for a solution
• Design the authentication and authorization strategy
• Determine whether requirements can be met with out-of-the-box functionality
• Determine where to run business logic including cloud computing, client-side processing, business rules, plug-ins, and Power Automate
• Determine when to use standard tables, virtual tables, elastic tables, or connectors
• Determine 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 solution

• 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
• Design inbound and outbound integrations using Dataverse and Azure

• Troubleshoot operational security issues found in testing
• Configure Dataverse security roles to support code components
• Manage Microsoft Power Platform environments for development

• Manage solution dependencies
• Create and use environment variables
• Determine when to use unmanaged and managed solutions
• Manage solution layers

• Implement complex Power Fx formulas
• Build reusable component libraries
• Utilize Power Automate cloud flows to implement business logic from a canvas app

• Troubleshoot canvas and model-driven app issues by using Monitor and other browser-based debugging tools
• Optimize canvas app performance including pre-loading data and query delegation
• Optimize model-driven app performance including forms and views

• Build JavaScript code that targets the Client API object model
• Determine event handler registration approach
• Create client scripting that targets the Dataverse Web API
• Configure commands and buttons using Power Fx
• Configure commands and buttons using JavaScript

• Demonstrate the use of the different code component lifecycle events
• 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

• Demonstrate the use of the different event execution pipeline stages
• Develop a plug-in that uses the 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 plug-in components by using the Plug-in Registration Tool
• Develop a plug-in that implements a custom API
• Configure Dataverse business events

• Create an Open API definition for an existing REST API
• Implement authentication for custom connectors
• Configure 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
• Develop an Azure Function to be used in a custom connector
• Extend the Open API definition for a custom connector
• Develop code for a custom connector to transform data

• Perform operations with the Dataverse Web API
• Perform operations with the Organization service
• Implement API limit retry policies
• Optimize for performance, concurrency, transactions, and bulk operations
• Perform authentication by using OAuth

• 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

• Implement 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 ID service principals
• Implement flow control actions including error handling
• Configure trigger filter and retry policies
• Develop reuseable logic by using child flows

• 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
• Recommend options for listening to Dataverse events

• Perform data synchronization by using change tracking
• Develop code that utilizes alternate keys
• Utilize the UpsertRequest message to synchronize data

Avainsanat

Microsoft, Power Platform, Power Apps, Power Automate