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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300

Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Analyze the Data	10-15%	- Work with metrics in Power BI 1. Track goals with scorecards 2. Create metrics using Microsoft measurements 3. Use the Decomposition Tree visual 4. Define and monitor KPIs - Perform analysis in Power BI 1. Configure auto-insights 2. Generate Pinn visual insights 3. Use the Q&A visual 4. Apply Quick Insights 5. Identify patterns and trends
Topic 2: Visualize the Data	25-30%	- Enhance reports for user experience 1. Add tooltips and navigation 2. Apply artistic formatting to visuals 3. Add accessibility features and compliance 4. Design for mobile and specific layouts - Enrich reports with advanced visuals 1. Configure R and Python visuals 2. Create custom visuals 3. Integrate Microsoft Copilot for Power BI 4. Use dynamic page navigation - Build visuals 1. Configure visual interactions and cross-filtering 2. Format and configure pages and report backgrounds 3. Configure data colors and shapes 4. Apply AI insights and enhanced analytics 5. Determine the appropriate visual type 6. Apply sorting and filtering to visuals
Topic 3: Model the Data	25-30%	- Create measures and DAX calculations 1. Implement context transition 2. Use Time Intelligence functions 3. Create calculated measures 4. Use CALCULATE and FILTER functions 5. Create semi-additive measures 6. Write and use basic DAX syntax - Design a data model 1. Apply field metadata and groupings 2. Implement row-level security 3. Design a star schema or snowflake schema 4. Define tables and table schemas 5. Resolve performance issues with relationships 6. Determine the appropriate granularity - Optimize model performance 1. Improve user experience by hiding objects 2. Optimize DirectQuery models 3. Optimize Dax queries 4. Validate performance and resolve issues 5. Configure aggregations - Develop the data model 1. Use the calculation group feature 2. Create common date tables 3. Configure table relationships 4. Create calculated tables and columns 5. Build hierarchies and hierarchical fields 6. Implement row-level security roles
Topic 4: Manage and Maintain Workspace Items	10-15%	- Manage datasets 1. Manage gateways and data sources 2. Resolve dataset permission issues 3. Configure dataset metadata and properties 4. Manage dataset refresh scheduling - Create and manage workspaces 1. Endorse sensitive content with sensitivity labels 2. Configure content certification 3. Configure workspace membership and roles 4. Publish and update a Power BI app
Topic 5: Prepare the Data	10-15%	- Get data from various data sources 1. Use Microsoft Fabric and OneLake 2. Configure dataset refresh 3. Change data source settings 4. Choose between DirectQuery, Import, and Dual storage modes 5. Select a shared dataset or create a local copy 6. Identify and connect to a data source - Clean, transform, and load the data 1. Configure data loading and queries 2. Resolve data quality issues 3. Determine proper data types 4. Apply user-friendly naming conventions to columns and tables 5. Profile the data 6. Identify the data structure 7. Design and build intermediate tables