Overview

Skills at a glanceDesign automations (25-30%)Develop automations (45-50%)Deploy and manage automations (20-25%)Design automations (25-30%)Design automations using Power Automate features and capabilitiesLeverage the Power Automate ecosystemDifferentiate between cloud flows and desktop flowsDesign automations using desktop flows and cloud flowsDifferentiate trigger types for cloud flowsDifferentiate options for interacting with target applications and browsersDifferentiate the different methods for running a desktop flowAssess the ability to run cloud and desktop flows concurrentlyRecommend running desktop flows attended versus unattendedDifferentiate HTTP actions in cloud and desktop flowsAssess if work queues are applicable for the automationDesign custom actionsDesign automations using other Microsoft Power Platform features and capabilitiesDesign automations that include canvas and model-driven appsDesign automations using connectors, custom connectors, connection references, and connections for cloud flowsDesign automations that include Microsoft DataverseDesign automations that analyze and enhance data and documentsDifferentiate Microsoft AI options for processing documents in desktop and cloud flowsDifferentiate Microsoft AI options for processing data in desktop and cloud flowsRecommend optical character recognition (OCR) capabilities in desktop flowsRecommend Document Automation Toolkit for use in automation designDesign automations using scripting languages in desktop flowsDesign automations using scripting languages including PowerShell and Visual Basic Script (VBScript)Recommend automation use cases that use JavaScriptDesign an automation that uses the document object model (DOM)Develop automations (45-50%)Develop cloud flowsDevelop a cloud flow that calls a desktop flowDevelop and use child cloud flows including passing and returning dataPerform actions in cloud flows by calling external APIsImplement trigger conditions and concurrency in cloud flowsImplement timeout and retry policies in cloud flowsImplement data objects and data operations in cloud flowsPerform text parsing including JSON, XML, and CSV in cloud flowsDevelop desktop flowsImplement UI optionsImplement datatables, lists, and custom objects in desktop flowsImplement subflows in desktop flowsPerform actions in desktop flows by calling external APIsImplement timeout and retry in desktop flowsImplement data objects and data operations in desktop flowsPerform text parsing including JSON, XML, and CSV in desktop flowsImplement custom actions in desktop flowsImplement logic in cloud and desktop flowsImplement flow control in cloud and desktop flows including loopsImplement expressions in cloud flowsImplement variable actions for cloud and desktop flowsImplement secure input and output data in actions in cloud flowsImplement secure variables in desktop flowsImplement priority for desktop flows in a queueImplement exception handling blocks in cloud and desktop flows to handle system exceptionsImplement error handling routines in cloud and desktop flows to handle business exceptionsImplement work queues in cloud and desktop flowsBuild custom connectors and implement connector configurationsBuild a custom connectorImplement authentication for custom connectorsImplement custom connector policy templatesDevelop code in a custom connectorPerform automation infrastructure managementRecommend credential management practicesUtilize on-premises data gateway to connect resources from cloud flowsBuild components in Microsoft Dataverse solutionsTest automations and finalize development effortsTest a cloud flowTest a desktop flowUtilize environment variables and configuration files to manage configurationsUtilize debugging features in cloud and desktop flowsDeploy and manage automations (20-25%)Perform target environment preparationImplement Microsoft Power Platform application lifecycle management (ALM)Differentiate credentials used for different environmentsRecommend how to deploy solution components to other environmentsBuild virtual desktop environments for unattended desktop flow executionAssess data loss prevention (DLP) policies for RPA executionAssess Microsoft Power Platform DLP policiesAssess how DLP policies impact actions in cloud and desktop flowsAssess how DLP policies apply to custom connectorsImplement access to RPA componentsPerform sharing of cloud and desktop flowsPerform sharing of machines and machine groupsRecommend security roles required to run and monitor cloud and desktop flowsImplement service accounts and service principalsImplement machine groups and queues required for desktop flow automationsAssess machine and machine group requirementsPerform machine registration managementPerform machine group managementImplement load balancing of desktop flows by using machine groups and queuesPerform operations on the run queue to manage desktop flowsAnalyze cloud and desktop flow run history from the Power Automate portal

Skills

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