PL-500T00-A: Microsoft Power Automate RPA Developer

Prepare to pass the PL-500: Microsoft Power Automate RPA Developer Certification Exam

Course Description

Candidates for this course automate time-consuming and repetitive tasks by using Microsoft Power Automate. They review solution requirements, create process documentation, and design, develop, troubleshoot, and evaluate solutions. Candidates work with business stakeholders to improve and automate business workflows. They collaborate with administrators to deploy solutions to production environments, and they support solutions.

Audience Profile

If you’re a developer with a keen interest in providing automated solutions for your organization, this certification could be a great fit for you. You automate time-consuming and repetitive tasks by using Microsoft Power Automate. You review solution requirements, create process documentation, and design, develop, deploy, integrate, troubleshoot, and evaluate solutions. Working with business stakeholders, you help to improve and automate business workflows.

About this Course

Course Outline

Skills at a glance

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

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 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

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)

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 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

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

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

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

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

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

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

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