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Exam Code: PL-900
Exam Name: Microsoft Power Platform Fundamentals
Exam Q&As: 291 Q&As
Last update: June 22, 2024

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Introduce Microsoft PL-900 Exam

The Microsoft Power Platform Fundamentals PL-900 exam is the part of the requirements for Microsoft Certified: Power Platform Fundamentals certification. Earning this certification will benefit you:

— Demonstrate knowledge in building solutions with Microsoft Power Platform.
— Show familiarity in automating basic business processes with Power Automate and in creating simple Power Apps experiences.
— Highlight familiarity in performing data analysis with Power BI and in building practical chatbots with Power Virtual Agents.

The Microsoft PL-900 exam is available in multiple languages, including English, Spanish, German, Chinese (Simplified), French, Korean, Japanese, Portuguese (Brazil), Russian, Arabic (Saudi Arabia), Chinese (Traditional), Italian. Make sure that you can pass the PL-900 exam and earn the Microsoft Certified: Power Platform Fundamentals certification to promote your positions.

Learning PL-900 Exam Objectives Is Strongly Recommended

  • 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
  • Describe the lifecycle to create an AI Builder model

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