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

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Passing Score, Duration & Questions For Microsoft PL-300 Exam

Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian
Number of Questions: 40-60 questions
Time Duration: 180 minutes
The passing score: 700

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Microsoft PL-300 Exam Syllabus Topics:

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

Microsoft Power BI Data Analyst : PL-300

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