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Microsoft Power BI Data Analyst Certification Exam Reference

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

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What are the special features of the Microsoft Power BI Data Analyst Certification Exam

The Microsoft Power BI Data Analyst Certification Exam will help you prepare for the new job role of a data analyst. A certified Data Analyst can use this exam to prove their skills in using Power BI to analyze business data, generate insightful visualizations, and share them with customers. Microsoft PL-300 Dumps is designed to test your knowledge of business data modeling, data analysis and visualization, and dashboard development in Power BI. The exam will cover the following topics:

  • Understanding business context, including organizational strategy and objectives

  • Identifying sources of data that can contribute to achieving business goals

  • Creating custom data models that support analysis and reporting requirements

  • Developing dashboards that provide actionable insights into business performance

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Skills measured

  • Deploy and maintain assets (20-25%)
  • Visualize and analyze the data (25-30%)
  • Download the study guide in the preceding “Tip” box for more details about the skills measured on this exam.
  • Prepare the data (15-20%)
  • Model the data (30-35%)

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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 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.

  • 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.

Microsoft PL-300 Exam Syllabus Topics:

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