PL-500 Microsoft Power Automate RPA Developer

Microsoft Power Automate RPA Developer -koulutus tarjoaa kattavan tietopaketin Microsoft Power Automate -ratkaisun käytöstä robotiikan prosessiautomaation (RPA) kehittäjänä ja kuinka Power Automatea voi hyödyntää tehokkaasti prosessien automatisoinnissa sekä parantaa työn tuottavuutta. Koulutus tarjoaa myös syvällistä tietoa Power Automaten ominaisuuksista, joiden avulla voi luoda tehokkaita ja skaalautuvia automaatioita.

Tavoite

Opi suunnittelemaan, kehittämään ja testaamaan RPA-sovelluksia Power Automaten avulla.

Kenelle

Koulutus on suunniteltu kehittäjille, jotka haluavat syventää osaamistaan RPA:n ja Power Automaten alueilla.

Koulutukseen osallistuvalle on hyötyä seuraavista:

• Power Automate kokemus 
• Kokemus muista RPA-tuotteista ja menetelmistä yleensä

Lisätiedot

Koulutus valmentaa Microsoftin viralliseen PL-500 Microsoft Power Automate RPA Developer -sertifiointitestiin.

Koulutuksen sisältö

• Leverage the Power Automate ecosystem
• Differentiate between cloud flows and desktop flows
• Design automations using desktop flows and cloud flows
• Differentiate trigger types for cloud flows
• Differentiate options for interacting with target applications and browsers
• Differentiate the different methods for running a desktop flow
• Assess the ability to run cloud and desktop flows concurrently
• Recommend running desktop flows attended versus unattended
• Differentiate HTTP actions in cloud and desktop flows
• Assess if work queues are applicable for the automation
• Design custom actions

• Design automations that include canvas and model-driven apps
• Design automations using connectors, custom connectors, connection references, and connections for cloud flows
• Design automations that include Microsoft Dataverse

• Differentiate Microsoft AI options for processing documents in desktop and cloud flows
• Differentiate Microsoft AI options for processing data in desktop and cloud flows
• Recommend optical character recognition (OCR) capabilities in desktop flows
• Recommend Document Automation Toolkit for use in automation design

• Design automations using scripting languages including PowerShell and Visual Basic Script (VBScript)
• Recommend automation use cases that use JavaScript
• Design an automation that uses the document object model (DOM)

• Develop a cloud flow that calls a desktop flow
• Develop and use child cloud flows including passing and returning data
• Perform actions in cloud flows by calling external APIs
• Implement trigger conditions and concurrency in cloud flows
• Implement timeout and retry policies in cloud flows
• Implement data objects and data operations in cloud flows
• Perform text parsing including JSON, XML, and CSV in cloud flows

• Implement UI options
• Implement datatables, lists, and custom objects in desktop flows
• Implement subflows in desktop flows
• Perform actions in desktop flows by calling external APIs
• Implement timeout and retry in desktop flows
• Implement data objects and data operations in desktop flows
• Perform text parsing including JSON, XML, and CSV in desktop flows
• Implement custom actions in desktop flows

• Implement flow control in cloud and desktop flows including loops
• Implement expressions in cloud flows
• Implement variable actions for cloud and desktop flows
• Implement secure input and output data in actions in cloud flows
• Implement secure variables in desktop flows
• Implement priority for desktop flows in a queue
• Implement exception handling blocks in cloud and desktop flows to handle system exceptions
• Implement error handling routines in cloud and desktop flows to handle business exceptions
• Implement work queues in cloud and desktop flows

• Build a custom connector
• Implement authentication for custom connectors
• Implement custom connector policy templates
• Develop code in a custom connector

• Recommend credential management practices
• Utilize on-premises data gateway to connect resources from cloud flows
• Build components in Microsoft Dataverse solutions

• Test a cloud flow
• Test a desktop flow
• Utilize environment variables and configuration files to manage configurations
• Utilize debugging features in cloud and desktop flows

• Implement Microsoft Power Platform application lifecycle management (ALM)
• Differentiate credentials used for different environments
• Recommend how to deploy solution components to other environments
• Build virtual desktop environments for unattended desktop flow execution

• Assess Microsoft Power Platform DLP policies
• Assess how DLP policies impact actions in cloud and desktop flows
• Assess how DLP policies apply to custom connectors

• Perform sharing of cloud and desktop flows
• Perform sharing of machines and machine groups
• Recommend security roles required to run and monitor cloud and desktop flows
• Implement service accounts and service principals

• Assess machine and machine group requirements
• Perform machine registration management
• Perform machine group management
• Implement load balancing of desktop flows by using machine groups and queues
• Perform operations on the run queue to manage desktop flows
• Analyze cloud and desktop flow run history from the Power Automate portal

Avainsanat

Microsoft, Power Automate, RPA, Developer