PL-900T00: Microsoft Power Platform fundamentals

• Describe the business value of Microsoft Power Platform (20–25%)

• Identify foundational components of Microsoft Power Platform (10–15%)

• Demonstrate the capabilities of Power BI (10–15%)

• Demonstrate the capabilities of Power Apps (20–25%)

• Demonstrate the capabilities of Power Automate (15–20%)

• Describe complementary Microsoft Power Platform solutions (15–20%)

• Describe the value of Power Apps to build applications

• Describe the value of Power Automate to automate processes

• Describe the value of Power BI to gain insights into data

• Describe the value of Power Pages to build websites

• Describe the value of Power Virtual Agents to create chatbots

• Describe the value of connectors to integrate services and data

• Describe the value of Microsoft Dataverse to organize business data

• Describe the value of AI Builder to enhance apps and flows

• Describe how Microsoft Power Platform apps work together with Microsoft Dynamics 365 apps

• Describe how Microsoft Power Platform business solutions work together with Microsoft 365 apps and services

• Describe how Microsoft Power Platform apps work together

• Describe how Microsoft Power Platform works with Microsoft Teams

• Describe how Microsoft Power Platform business solutions can consume Microsoft Azure services

• Describe the Microsoft Power Platform security model

• Describe environments

• Describe where to perform specific administrative tasks including Microsoft Power Platform admin center and Microsoft 365 admin center

• Describe how Microsoft Power Platform supports privacy and accessibility guidelines

• Describe differences between traditional databases and Microsoft Dataverse

• Describe tables, columns, and relationships in Microsoft Dataverse

• Describe business logic in Microsoft Dataverse

• Describe dataflows for Microsoft Dataverse

• Describe the components of a connector

• Describe standard and premium connectors

• Identify use cases for custom connectors

• Describe Power BI Desktop and Power BI Service

• Compare and contrast dashboards, workspaces, reports, and paginated reports

• Describe how to clean and transform data by using Power Query

• Describe how AI Insights helps identify anomalies and trends in data

• Create a Power BI report by adding visualizations

• Create a Power BI dashboard

• Add visualizations to dashboards by using Q&A

• Consume Power BI reports and dashboards

• Describe the differences between canvas apps and model-driven apps

• Describe use cases for and capabilities of canvas apps

• Describe use cases for and capabilities of model-driven apps

• Connect to data sources by using connectors

• Create an app from data

• Add controls to canvas app screens

• Create a model-driven app from tables

• Modify forms

• Create and modify views

• Describe use cases for cloud and desktop flows

• Describe use cases for cloud flow templates

• Describe how Power Automate cloud flows use connector triggers and actions

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

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

• Describe actions for Power Automate desktop flows

• Describe document processing in Power Automate

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

• Modify a cloud flow

• Add flow steps to perform data operations

• Run a cloud flow

• Build a basic desktop flow by recording tasks

• Describe use cases for Power Virtual Agents

• Describe the purpose of topics, entities, and actions

• Create topics from existing FAQs by using Suggest topics

• Describe use cases for Power Pages

• Describe use cases for templates

• Describe how to share data externally

• Describe use cases for AI Builder, including Sentiment Analysis and receipt processing

• Describe the lifecycle to create an AI Builder model

Successful Azure Administrators start this role with experience in virtualization, networking, identity, and storage.

• Understanding of on-premises virtualization technologies, including: VMs, virtual networking, and virtual hard disks.

• Understanding of network configurations, including TCP/IP, Domain Name System (DNS), virtual private networks (VPNs), firewalls, and encryption technologies.

• Understanding of Active Directory concepts, including users, groups, and role-based access control.

• Understanding of resilience and disaster recovery, including backup and restore operations.