PL-900: Power Platform Fundamentals

1. Business value of Microsoft Power Platform services

• Microsoft Power Apps to build applications

• Microsoft Power Automate to automate processes

• Microsoft Power BI to gain insights into data

• Microsoft Power Pages to build websites

• Connectors to integrate services and data

• Microsoft Dataverse to organise business data

• Copilots and generative AI features in Microsoft Power Platform

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2. Business value of extending business solutions by using Microsoft Power Platform

• Use Microsoft Power Platform apps with Microsoft Dynamics 365 apps

• Use Microsoft Power Platform business solutions with Microsoft 365 apps and services

• Microsoft Power Platform services

• Microsoft Power Platform and Microsoft Teams

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3. Microsoft Power Platform administration and governance

• Describe the Microsoft Power Platform security model

• Describe environments

• Describe the different Microsoft Power Platform admin centres and portals

• Describe how Microsoft Power Platform supports data privacy and accessibility guidelines

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4. Microsoft Dataverse

• Differences between traditional databases and Dataverse

• Tables, columns, and relationships in Dataverse

• Business logic in Dataverse

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5. Connectors

• Describe the components of a connector

• Describe standard, premium, and custom connectors

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6. Basic Power BI components

• Power BI Desktop and the Power BI service

• Dashboards, workspaces, reports, and paginated reports

• AI Insights - anomalies and trends in data

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7. Build a basic dashboard by using Power BI

• Create a Power BI report by adding visualisations

• Create a Power BI dashboard

• Add visualisations to dashboards by using Q&A

• Consume Power BI reports and dashboards

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8. Identify basic Power Apps capabilities

• Differences between canvas apps and model-driven apps

• Use cases for and capabilities of canvas apps

• Use cases for and capabilities of model-driven apps

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9. Build a basic canvas app

• Connect to data sources by using connectors

• Create an app from data

• Add controls to canvas app screens

• Build responsive pages by dragging and dropping containers

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10. Build a basic model-driven app

• Create a model-driven app from tables

• Modify forms

• Create and modify views

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11. Identify basic Power Automate components

• Use cases for cloud and desktop flows

• Use cases for cloud flow templates

• How Power Automate cloud flows use connector triggers and actions

• Power Automate use cases for approvals, Microsoft Teams, Outlook, SharePoint, and Forms

• Power Automate apps, including Power Automate for Desktop, Power Automate mobile, and the Power Automate portal

• Power Automate desktop flows

• document processing in Power Automate

• Process Mining and Task Mining

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12. Build a basic Power Automate flow

• Create a cloud flow by using an instant, automated, or scheduled flow template

• How to create cloud flows by using Copilot in Power Automate

• Modify a cloud flow

• Add flow steps to perform data operations

• Run a cloud flow

• Build a basic desktop flow by recording tasks

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13. Describe the capabilities of Power Pages

• Use cases for Power Pages

• Use cases for templates

• Describe how to share data externally

• Use cases for creating sites by using Copilot in Power Pages

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14. Describe Copilot Studio

• Use cases for Copilot Studio

• Purpose of topics, entities, and actions

• Create a topic by using Copilot Studio

• Describe the process of building bots by using Copilot Studio

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15. Describe the capabilities of AI Builder

• Business value of AI Builder

• Use cases for AI Builder

• Describe the lifecycle to create an AI Builder model