As a candidate for this certification, you automate Windows-based, browser-based, and terminal-based applications that are time-consuming or contain repetitive processes. You use a mix of approaches like:
- UI
- API
- Database automations
You analyze and design processes for automation and implement automations using Power Automate for desktop and Power Automate cloud flows. As a robotic process automation (RPA) developer, you use actions for logic and to work with:
- Data
- Applications
- Services
You work with business stakeholders to optimize business workflows. You partner with administrators to deploy solutions to other environments and support solutions.
Additionally, as a candidate, you should have experience with:
◉ The Windows desktop environment
◉ Scripting languages
◉ Power Automate cloud and desktop flows
◉ AI Builder
◉ Process Advisor
◉ Microsoft Dataverse
Microsoft Power Automate RPA Developer Exam Summary:
| Exam Name | Microsoft Certified - Power Automate RPA Developer Associate |
| Exam Code | PL-500 |
| Exam Price | $165 (USD) |
| Exam Price | 150 mins |
| Number of Questions | 40-60 |
| Passing Score | 700 / 1000 |
| Books / Training | PL-500T00-A: Microsoft Power Automate RPA Developer |
| Sample Questions | Microsoft Power Automate RPA Developer Sample Questions |
| Practice Exam | Microsoft PL-500 Certification Practice Exam |
Microsoft PL-500 Exam Syllabus Topics:
| Topic | Details |
| 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 |
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