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What are the steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam

The steps to follow for the registration of the Microsoft Power BI Data Analyst Certification Exam are as follows:

  • After successful registration process, you will receive an email confirmation from Microsoft with all the details about your course including access code etc., which will be sent to your registered email ID provided during registration process.

  • Go to the official website of Microsoft, and click on “Microsoft Learning”.

  • Then you need to select your preferred payment method which includes credit card or PayPal account etc., and you will receive an email confirmation after successful payment using your credit card or PayPal account etc.

  • The next step is to fill out your personal information such as name, email address, country and state city etc., which is mandatory to complete your registration process successfully.

  • You will see a list of courses that are available on this website. Select “Microsoft Power BI Data Analyst Certification Exam” and click on “Enroll Now” button.

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

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

  • 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 Korean Exam Syllabus Topics:

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

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