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

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Microsoft PL-300 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prepare the data	25-30%	- Get or connect to data 1. Configure data source settings, credentials, and privacy levels 2. Identify and connect to data sources or shared semantic models 3. Choose storage modes: Import, DirectQuery, DirectLake 4. Create and modify parameters - Load and configure data 1. Configure data refresh settings 2. Define table structures and properties 3. Integrate data from multiple sources - Profile and clean data 1. Transform data using Power Query Editor 2. Manage data types, columns, and rows 3. Resolve inconsistencies, null values, and errors 4. Evaluate data statistics and column properties
Topic 2: Visualize and analyze data	25-30%	- Perform data analysis 1. Create and manage bookmarks and tooltips 2. Interpret results and identify trends 3. Implement custom visuals and R/Python scripts - Create reports and dashboards 1. Create dashboards and pinned elements 2. Apply filters, slicers, and drill-through 3. Design report layout, formatting, and interactivity 4. Choose appropriate visualizations - Enhance reports with analytics 1. Create paginated reports 2. Use AI visuals, forecasts, and key influencers 3. Apply conditional formatting and custom visuals
Topic 3: Model the data	25-30%	- Design data models 1. Implement role-playing dimensions 2. Create relationships: cardinality, cross-filter direction, security 3. Create common date tables 4. Define tables, columns, and hierarchies - Optimize model performance 1. Reduce cardinality and data size 2. Optimize relationships and calculations 3. Use aggregations and composite models - Create model calculations 1. Use CALCULATE and filter context 2. Use DAX: calculated columns, calculated tables, measures 3. Implement aggregation and time intelligence
Topic 4: Manage and secure Power BI	15-20%	- Deploy and distribute content 1. Embed content in applications or websites 2. Share reports, dashboards, and apps 3. Monitor usage and performance - Implement security and governance 1. Apply data sensitivity labels and protection 2. Configure row-level security (RLS) and object-level security 3. Manage permissions and access - Manage workspaces and assets 1. Manage data refresh and scheduled updates 2. Publish, update, and organize reports/datasets 3. Create and configure workspaces