Microsoft PL-300 Korean Q&A - in .pdf

  • Exam Code: PL-300 Korean
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Sep 03, 2026
  • Q & A: 472 Questions and Answers
  • PDF Price: $69.98
  • Printable Microsoft PL-300 Korean PDF Format. It is an electronic file format regardless of the operating system platform.
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Microsoft PL-300 Korean Q&A - Testing Engine

  • Exam Code: PL-300 Korean
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Sep 03, 2026
  • Q & A: 472 Questions and Answers
  • Install on multiple computers for self-paced, at-your-convenience training.
  • PC Test Engine Price: $69.98
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About Microsoft PL-300 Korean Exam Testing Engine

Exam PL-300: Microsoft Power BI Data Analyst

The Power BI data analyst delivers actionable insights by leveraging available data and applying domain expertise. The Power BI data analyst collaborates with key stakeholders across verticals to identify business requirements, cleans and transforms the data, and then designs and builds data models by using Power BI. The Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations, enables others to perform self-service analytics, and deploys and configures solutions for consumption. Candidates for this exam should be proficient using Power Query and writing expressions by using DAX.

Passing score: 700. Learn more about exam scores.

Part of the requirements for: Microsoft Certified: Power BI Data Analyst Associate

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

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What is the exam cost of the Microsoft Power BI Data Analyst Certification Exam

The cost of the Microsoft Power BI Data Analyst Certification Exam is 165 USD.

Microsoft Power BI Data Analyst Exam Certification Details:
Exam Price$165 (USD)
Duration180 mins
Number of Questions40-60
Passing Score700 / 1000
Sample QuestionsMicrosoft Power BI Data Analyst Sample Questions
Schedule ExamPearson VUE
Books / TrainingCourse PL-300T00: Microsoft Power BI Data Analyst
Exam CodePL-300
Exam NameMicrosoft Certified - Power BI Data Analyst Associate
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Microsoft PL-300 Korean Exam Syllabus Topics:
SectionWeightObjectives
Model the Data25-30%- Create measures and DAX calculations
  • 1. Create semi-additive measures
  • 2. Use CALCULATE and FILTER functions
  • 3. Use Time Intelligence functions
  • 4. Create calculated measures
  • 5. Write and use basic DAX syntax
  • 6. Implement context transition
- Develop the data model
  • 1. Use the calculation group feature
  • 2. Build hierarchies and hierarchical fields
  • 3. Create calculated tables and columns
  • 4. Create common date tables
  • 5. Configure table relationships
  • 6. Implement row-level security roles
- Design a data model
  • 1. Determine the appropriate granularity
  • 2. Design a star schema or snowflake schema
  • 3. Resolve performance issues with relationships
  • 4. Apply field metadata and groupings
  • 5. Define tables and table schemas
  • 6. Implement row-level security
- Optimize model performance
  • 1. Validate performance and resolve issues
  • 2. Optimize Dax queries
  • 3. Configure aggregations
  • 4. Optimize DirectQuery models
  • 5. Improve user experience by hiding objects
Visualize the Data25-30%- Enrich reports with advanced visuals
  • 1. Create custom visuals
  • 2. Use dynamic page navigation
  • 3. Integrate Microsoft Copilot for Power BI
  • 4. Configure R and Python visuals
- Build visuals
  • 1. Apply sorting and filtering to visuals
  • 2. Configure data colors and shapes
  • 3. Apply AI insights and enhanced analytics
  • 4. Format and configure pages and report backgrounds
  • 5. Determine the appropriate visual type
  • 6. Configure visual interactions and cross-filtering
- Enhance reports for user experience
  • 1. Add accessibility features and compliance
  • 2. Apply artistic formatting to visuals
  • 3. Add tooltips and navigation
  • 4. Design for mobile and specific layouts
Prepare the Data10-15%- 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. Choose between DirectQuery, Import, and Dual storage modes
  • 4. Change data source settings
  • 5. Use Microsoft Fabric and OneLake
  • 6. Configure dataset refresh
- Clean, transform, and load the data
  • 1. Identify the data structure
  • 2. Design and build intermediate tables
  • 3. Determine proper data types
  • 4. Resolve data quality issues
  • 5. Configure data loading and queries
  • 6. Profile the data
  • 7. Apply user-friendly naming conventions to columns and tables
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 workspace membership and roles
  • 4. Configure content certification
- Manage datasets
  • 1. Resolve dataset permission issues
  • 2. Manage gateways and data sources
  • 3. Manage dataset refresh scheduling
  • 4. Configure dataset metadata and properties
Analyze the Data10-15%- 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
- Perform analysis in Power BI
  • 1. Identify patterns and trends
  • 2. Configure auto-insights
  • 3. Generate Pinn visual insights
  • 4. Apply Quick Insights
  • 5. Use the Q&A visual

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