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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.

The Microsoft Power BI Data Analyst certification provides many benefits to you. It helps you boost your career growth by validating your knowledge in building business intelligence solutions using Power BI platform. It validates your skills in designing reports and visualizations for various business needs. It increases your credibility among employers as most companies look for professionals who have this certification. It provides an opportunity to earn a higher salary package compared to those without this certification. ExamPrepAway Microsoft PL-300 Dumps will help you to pass your certification exam and get highly paid job.

Prerequisites of Microsoft Power BI Data Analyst Certification Exam

The Microsoft Power BI Data Analyst Certification Exam is a test which assesses your ability to have a high-level understanding of the data analysis process, including collecting, analyzing and visualizing data. It is a certification that will help you gain the required skills to be able to work with business intelligence solutions and tools. To be eligible to take this exam, you must meet the following prerequisites:

  • You have at least one year of experience using Power Query in Excel, or an equivalent experience using another data analysis tool.

  • You have at least one year of experience using Power BI Desktop.

  • You are a professional data analyst with 2-4 years of work experience or an IT professional with 2-4 years of experience.

  • You have at least one year of experience working with relational databases, such as SQL Server or Oracle. In addition, you should have a basic understanding of how to create queries and reports using SQL Server Management Studio or Toad Data Point.

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

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Microsoft PL-300日本語 Exam Syllabus Topics:

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

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