Microsoft PL-300 Korean exam - in .pdf

PL-300 Korean pdf
  • Exam Code: PL-300 Korean
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Aug 07, 2026
  • Q & A: 515 Questions and Answers
  • PDF Price: $69.99
  • PDF Demo

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  • Exam Code: PL-300 Korean
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Aug 07, 2026
  • Q & A: 515 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $139.98  $89.99
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Microsoft PL-300 Korean exam - Testing Engine

PL-300 Korean Testing Engine
  • Exam Code: PL-300 Korean
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Korean Version)
  • Updated: Aug 07, 2026
  • Q & A: 515 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

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Skills measured

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

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Microsoft Power BI Data Analyst Certification Exam is one of the most popular certification exams in the market. However, most candidates don't pass it on their first attempt. The reasons for this are many, but the most common ones are not having enough time to prepare, not knowing where to start and what to study, or not having access to quality learning materials. To help you overcome these obstacles and pass Microsoft Power BI Data Analyst Certification Exam easily, our experts have created a comprehensive Microsoft PL-300 Dumps that will give you everything you need to know to pass Microsoft Power BI Data Analyst Certification Exam quickly and efficiently.

This study guide contains everything you will need to have a deep understanding of this certification and take it with confidence. Our experts have taken great care in creating this study guide by using only high-quality resources available on the internet. Our goal is to help you understand each concept so that when taking the exam, there will be no surprises that throw off your momentum or cause you any stress during your preparation or while taking the exam itself.

Understanding Microsoft Power BI Data Analyst Certification Exam Topics

Microsoft Power BI Data Analyst Certification Exam Topics are below:

  • Model the data (30-35%)
  • Deploy and maintain assets (20-25%)
  • Prepare the data (15-20%)
  • Visualize and analyze the data (25-30%)

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

Microsoft PL-300 Korean Exam Syllabus Topics:

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

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