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PL-500 Exam Topics and Domains
PL-500 is organized into 3 weighted domains. Expect to work with Custom action development, Microsoft Dataverse, Power Automate for desktop, Queue management, and more.
Design automations
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
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
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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What's changed on this exam?
- ACTIVE
- Last content update: 2024-07-08
- Copilot in Power Automate GA High - Natural language automation creation now tested • Release date: 2024-10-01
- AI Recorder Preview Medium - May appear in future exam updates • Release date: 2024-09-01
- Work Queues GA High - Core exam topic for automation management • Release date: 2024-03-01
- Document Automation Toolkit 2.0 Medium - Document processing scenarios tested • Release date: 2024-06-01
Who should take this exam?
- Experience with Windows desktop environment
- Knowledge of scripting languages (VBScript, JavaScript)
- Understanding of .NET Framework for custom actions
- Familiarity with Microsoft Dataverse
- Experience with Power Automate cloud and desktop flows