Introduction to Microsoft Power Platform (PL-900) (M-PL900)

Module 1: Describe the business value of Microsoft Power Platform

• • Describe the value of Microsoft Power Apps to build applications.
• • Describe the value of Microsoft Power Automate to automate processes.
• • Describe the value of Microsoft Power Pages to build websites.
• • Describe the value of Microsoft Dataverse to organize business data.
• • Describe the value of Copilot Studio to create agents.
• • Describe the value of copilots and generative AI features in Microsoft Power Platform.
• • Describe the value of connectors to integrate services and data for apps and flows.
• • Describe the value of Plan Designer.

Module 2: Describe Microsoft Dataverse

• • Explain the core capabilities and business value of Microsoft Dataverse as a data platform for Power Platform solutions.
• • Identify and work with the structural components of Dataverse, including tables, columns, rows, and relationships.
• • Choose the right business logic approach—business rules, Power Fx, or Power Automate—for common data scenarios.
• • Describe how forms and views support data entry and data display in model-driven apps.
• • Use Copilot to create and refine Dataverse tables using natural language prompts.

Module 3: Describe Power Platform governance and administration

• • Describe Power Platform environments and the role they play in organizing and governing resources.
• • Describe the Microsoft Power Platform security model.
• • Describe how Microsoft Power Platform supports data privacy and accessibility guidelines.
• • Describe the monitoring and analytics capabilities of the Microsoft Power Platform.
• • Describe application lifecycle management with Power Platform Pipelines.

Module 4: Identify basic Microsoft Power Apps capabilities

• • Describe the use cases and capabilities of canvas apps.
• • Describe the use cases and capabilities of model-driven apps.
• • Describe the use cases and capabilities of code apps.
• • Create a canvas app through conversations with Copilot.
• • Create a model-driven app through conversations with Copilot.

Module 5: Identify Microsoft Power Automate components

• • Describe use cases for cloud flows and desktop flows.
• • Describe Power Automate use cases for approvals, Microsoft Teams, Outlook, SharePoint, Forms, and document automation.
• • Describe triggers for cloud flows.
• • Describe actions for cloud flows.
• • Create and modify cloud flows through conversations with Copilot.
• • Create and modify desktop flows with Copilot.
• • Describe how to build cloud flows using the designer.

Module 6: Understand features of Copilot Studio agents

• • Identify common business use cases for conversational and autonomous agents.
• • Explain how Copilot Studio handles organizational data securely.
• • Describe the end-to-end data flow when a user interacts with a Copilot Studio agent.
• • Describe how knowledge sources and tools extend agent capabilities.
• • Explain how MCP servers connect agents to live enterprise data.
• • Use built-in analytics to monitor agent performance and track adoption.
• • Describe agent flows and when to use them for deterministic automation.
• • Create and run agent evaluations using test sets to validate agent quality.
• • Follow the recommended agent development process from design through deployment.
• • Describe how to build an agent in Copilot Studio using natural language and the low-code canvas.