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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:

  • 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.

  • 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.

  • 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.

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

  • 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.

Microsoft PL-300 exam consists of multiple-choice questions that cover a range of topics related to data analysis and visualization. Candidates will be tested on their knowledge of data modeling, data transformation, data visualization, and report creation. PL-300 exam also covers topics such as data security and data governance, which are essential for professionals who work with sensitive data.

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

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Microsoft PL-300 Exam Syllabus Topics:

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

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