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Understanding business context, including organizational strategy and objectives
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Creating custom data models that support analysis and reporting requirements

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

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Microsoft PL-300 Korean Exam Syllabus Topics:

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

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