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

  • Time Duration: 180 minutes

  • The passing score: 700

  • Number of Questions: 40-60 questions

  • Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

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

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The need for this exam has increased tremendously over the years. As more people start using technology, there is a greater need for more professionals who can help them with their problems. With the increasing demand for people with these skills, it will be difficult for you to get a job without having one. If you want to succeed in your career, you should consider taking this test because it will give you an edge over other candidates who do not have it. It will also help you stand out from the crowd if you are applying for jobs online or even if you are looking for promotion within your company. Column data types have questions and answers subcategories for real time scenario. Sample questions about data source settings have calculated columns mobile view. Quick measure mode filters the app syllabus to practice the average sales. If you are feeling sensitive to additives in your food, you may want to format your schema prepared environment to be more additive-sensitive. This could involve avoiding foods that contain additives, eating organic foods whenever possible, or using natural sweeteners.

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The Microsoft Power BI Data Analyst certification is a globally recognized certification that validates your ability to design, build, and optimize data models using Power BI. It also demonstrates your expertise in building queries and reports with appropriate visuals, including dashboards, scorecards, and visualizations. This certification focuses on the intermediate-level skills required for data modeling and analysis.

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Manage and Maintain Workspace Items10-15%- Manage datasets
  • 1. Configure dataset metadata and properties
  • 2. Manage gateways and data sources
  • 3. Resolve dataset permission issues
  • 4. Manage dataset refresh scheduling
- Create and manage workspaces
  • 1. Endorse sensitive content with sensitivity labels
  • 2. Configure workspace membership and roles
  • 3. Publish and update a Power BI app
  • 4. Configure content certification
Topic 2: Model the Data25-30%- Optimize model performance
  • 1. Improve user experience by hiding objects
  • 2. Configure aggregations
  • 3. Validate performance and resolve issues
  • 4. Optimize Dax queries
  • 5. Optimize DirectQuery models
- Develop the data model
  • 1. Build hierarchies and hierarchical fields
  • 2. Configure table relationships
  • 3. Implement row-level security roles
  • 4. Create common date tables
  • 5. Use the calculation group feature
  • 6. Create calculated tables and columns
- Create measures and DAX calculations
  • 1. Use CALCULATE and FILTER functions
  • 2. Use Time Intelligence functions
  • 3. Create semi-additive measures
  • 4. Write and use basic DAX syntax
  • 5. Create calculated measures
  • 6. Implement context transition
- Design a data model
  • 1. Apply field metadata and groupings
  • 2. Resolve performance issues with relationships
  • 3. Determine the appropriate granularity
  • 4. Design a star schema or snowflake schema
  • 5. Implement row-level security
  • 6. Define tables and table schemas
Topic 3: Analyze the Data10-15%- Perform analysis in Power BI
  • 1. Apply Quick Insights
  • 2. Configure auto-insights
  • 3. Generate Pinn visual insights
  • 4. Use the Q&A visual
  • 5. Identify patterns and trends
- Work with metrics in Power BI
  • 1. Create metrics using Microsoft measurements
  • 2. Use the Decomposition Tree visual
  • 3. Track goals with scorecards
  • 4. Define and monitor KPIs
Topic 4: Visualize the Data25-30%- Build visuals
  • 1. Apply sorting and filtering to visuals
  • 2. Configure visual interactions and cross-filtering
  • 3. Configure data colors and shapes
  • 4. Apply AI insights and enhanced analytics
  • 5. Determine the appropriate visual type
  • 6. Format and configure pages and report backgrounds
- Enhance reports for user experience
  • 1. Apply artistic formatting to visuals
  • 2. Add tooltips and navigation
  • 3. Design for mobile and specific layouts
  • 4. Add accessibility features and compliance
- Enrich reports with advanced visuals
  • 1. Integrate Microsoft Copilot for Power BI
  • 2. Use dynamic page navigation
  • 3. Create custom visuals
  • 4. Configure R and Python visuals
Topic 5: Prepare the Data10-15%- Clean, transform, and load the data
  • 1. Design and build intermediate tables
  • 2. Configure data loading and queries
  • 3. Profile the data
  • 4. Determine proper data types
  • 5. Identify the data structure
  • 6. Apply user-friendly naming conventions to columns and tables
  • 7. Resolve data quality issues
- Get data from various data sources
  • 1. Select a shared dataset or create a local copy
  • 2. Identify and connect to a data source
  • 3. Configure dataset refresh
  • 4. Use Microsoft Fabric and OneLake
  • 5. Choose between DirectQuery, Import, and Dual storage modes
  • 6. Change data source settings

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