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Microsoft PL-300 Korean exam : Microsoft Power BI Data Analyst (PL-300 Korean Version)

PL-300 Korean Exam Simulator
  • Exam Code: PL-300-KR
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Jul 18, 2026
  • Q & A: 515 Questions and Answers
  • Microsoft PL-300 Korean Q&A - in .pdf

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Is Microsoft Power BI Data Analyst Certification Exam Worth It

There are many IT certifications available in the market today, but if you are looking for a job as a data analyst then you should give this certification a chance. This certification will help you to stand out from the crowd and get hired easily by many companies. Microsoft Power BI Data Analyst Certification Exam is the most valuable certification program for IT professionals in their respective fields. Microsoft PL-300 Dumps is a must-have certificate for all IT professionals who want to pursue their career in the field of data analytics.

The Microsoft Power BI Data Analyst Certification Exam is a certification exam that will help you to demonstrate your expertise in using the Microsoft Power BI platform. This exam tests the candidate's ability to analyze data with Power BI and create reports that are accurate, insightful and easy to read. Once you pass this exam, you will receive a certificate that shows your competence in performing these tasks. The certificate is valid for three years, so if you want to keep your skills up-to-date then you should take additional training during this time period.

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:

  • 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.

  • 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.

  • 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.

  • 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

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Microsoft PL-300 Korean Exam Syllabus Topics:

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

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