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Microsoft Power Platform Fundamentals (PL-900)

Exam Overview

The Power Platform Fundamentals certification validates foundational knowledge of the core components of the Microsoft Power Platform and their business value. This exam is intended for candidates who aspire to improve productivity by automating business processes, analyzing data to produce business insights, and acting more effectively by creating simple app experiences.

Exam Details: - Exam Code: PL-900 - Duration: 60 minutes - Number of Questions: 40-60 questions - Passing Score: 700 out of 1000 - Question Types: Multiple choice, multiple select, drag and drop, hot area, case studies - Cost: $99 USD - Prerequisites: None (basic understanding of business processes helpful)

Exam Domains

1. Describe the Business Value of the Microsoft Power Platform (15-20%)

  • Business Value of Power Platform
  • Power Platform components and their purposes
  • Business value of extending business solutions
  • Business value of Power Platform with Microsoft 365 apps and services
  • Business value of Power Platform with Dynamics 365 apps
  • Business value of Power Platform with Azure services
  • Power Platform Administration and Security
  • Power Platform security model
  • Environments and data gateways
  • Privacy and accessibility guidelines

2. Identify Foundational Components of Microsoft Power Platform (15-20%)

  • Power Platform Architecture
  • Dataverse as the foundation
  • Connectors and their purposes
  • AI Builder capabilities
  • Common Data Service/Dataverse
  • Tables, columns, and relationships
  • Business rules and process flows
  • Security roles and sharing

3. Demonstrate the Capabilities of Power BI (25-30%)

  • Power BI Components
  • Power BI Desktop, Service, and Mobile
  • Power BI building blocks (datasets, reports, dashboards, workspaces)
  • Data Analysis and Visualization
  • Connecting to data sources
  • Creating and sharing reports and dashboards
  • Building basic visualizations
  • Using natural language to explore data (Q&A)
  • Power BI Service Features
  • Workspaces and collaboration
  • Apps and content packs
  • Row-level security
  • Scheduled refresh and gateways

4. Demonstrate the Capabilities of Power Apps (25-30%)

  • Power Apps Types
  • Canvas apps vs model-driven apps
  • Power Apps portals
  • Building Power Apps
  • Creating canvas apps from templates, data, or blank
  • Creating model-driven apps
  • Sharing and publishing apps
  • Power Apps Integration
  • Connecting to data sources
  • Using Power Apps with other Power Platform components
  • Common connectors and their uses

5. Demonstrate the Capabilities of Power Automate (10-15%)

  • Power Automate Types
  • Cloud flows (automated, instant, scheduled)
  • Desktop flows (RPA)
  • Business process flows
  • Building Flows
  • Creating flows from templates
  • Using triggers and actions
  • Flow sharing and management
  • Power Automate Integration
  • Integration with Power Apps and Power BI
  • Approval workflows
  • Document generation and processing

6. Demonstrate the Capabilities of Power Virtual Agents (10-15%)

  • Power Virtual Agents Capabilities
  • Creating chatbots without code
  • Publishing bots to multiple channels
  • Bot analytics and performance monitoring
  • Building Chatbots
  • Topics and trigger phrases
  • Conversation flow design
  • Using entities and variables
  • Integration with other Power Platform components

Study Tips

  1. Week 1: Power Platform overview and business value
  2. Week 2: Power BI capabilities and data visualization
  3. Week 3: Power Apps development and types
  4. Week 4: Power Automate and Power Virtual Agents
  5. Week 5-6: Integration scenarios and practice tests

Key Study Resources

  • Microsoft Learn Learning Paths:
  • Get started with Power Platform
  • Create and use analytics reports with Power BI
  • Create a canvas app in Power Apps
  • Create a model-driven application in Power Apps
  • Automate a business process using Power Automate
  • Create bots with Power Virtual Agents

Hands-on Practice

  • Sign up for Power Platform trial
  • Create basic Power BI reports and dashboards
  • Build simple canvas and model-driven apps
  • Create automated flows with Power Automate
  • Design basic chatbots with Power Virtual Agents
  • Explore Dataverse and data connectivity

Exam Strategy

  • Understand when to use each Power Platform component
  • Focus on business scenarios and use cases
  • Know the integration capabilities between components
  • Understand licensing and deployment options
  • Practice identifying appropriate solutions for business needs

Common Gotchas

  • Distinguish between canvas apps and model-driven apps
  • Understand different types of Power Automate flows
  • Know Power BI licensing requirements
  • Understand Dataverse vs external data sources
  • Be familiar with connector limitations and capabilities

Comprehensive Study Resources

👉 Complete Azure Study Resources Guide

For detailed information on courses, practice tests, hands-on labs, communities, and more, see our comprehensive Azure study resources guide which includes: - Official Microsoft Learn paths (FREE) - Top-rated video courses with specific instructors - Practice test platforms with pricing and comparisons - Hands-on lab environments and free tier details - Community forums and study groups - Essential tools and Azure CLI resources - Pro tips and budget-friendly study strategies

Key Components Quick Reference

Power BI

  • Purpose: Business analytics and data visualization
  • Key Features: Interactive reports, dashboards, natural language queries
  • Use Cases: KPI monitoring, data analysis, self-service BI

Power Apps

  • Canvas Apps: Flexible, pixel-perfect apps for any device
  • Model-driven Apps: Data-focused apps based on Dataverse
  • Portals: External-facing websites with business data

Power Automate

  • Cloud Flows: Automated workflows between apps and services
  • Desktop Flows: Robotic Process Automation (RPA)
  • Business Process Flows: Guided business processes

Power Virtual Agents

  • Purpose: No-code chatbot creation
  • Key Features: Natural language understanding, multi-channel deployment
  • Use Cases: Customer service, FAQ automation, internal help desk

Dataverse

  • Purpose: Secure, cloud-based data platform
  • Key Features: Business logic, security, integration
  • Benefits: Common data model, scalability, compliance

Remember: This exam focuses on understanding business scenarios and knowing which Power Platform component to use for different requirements. Hands-on experience with each component is highly recommended.