Skills at a glance

• Design automations (25–30%)

• Develop automations (45–50%)

• Deploy and manage automations (20–25%)

Design automations (25–30%)

Develop automations (45–50%)

Deploy and manage automations (20–25%)

Design automations (25–30%)

Design automations using Power Automate features and capabilities

• 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

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 using other Microsoft Power Platform features and capabilities

• 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

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

Design automations that analyze and enhance data and documents

• 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

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 in desktop flows

• 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)

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 automations (45–50%)

Develop cloud flows

• 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

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

Develop desktop 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 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 logic in cloud and 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

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 custom connectors and implement connector configurations

• Build a custom connector

• Implement authentication for custom connectors

• Implement custom connector policy templates

• Develop code in a custom connector

Build a custom connector

Implement authentication for custom connectors

Implement custom connector policy templates

Develop code in a custom connector

Perform automation infrastructure management

• Recommend credential management practices

• Utilize on-premises data gateway to connect resources from cloud flows

• Build components in Microsoft Dataverse solutions

Recommend credential management practices

Utilize on-premises data gateway to connect resources from cloud flows

Build components in Microsoft Dataverse solutions

Test automations and finalize development efforts

• 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

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

Deploy and manage automations (20–25%)

Perform target environment preparation

• 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

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 data loss prevention (DLP) policies for RPA 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

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

Implement access to RPA components

• 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

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

Implement machine groups and queues required for desktop flow automations

• 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

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