Microsoft PL-300日本語 test insides dumps : Microsoft Power BI Data Analyst (PL-300日本語版)

Microsoft PL-300日本語 test insides dumps
  • Exam Code: PL-300J
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Sep 17, 2026
  • Q & A: 472 Questions and Answers
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Understanding Microsoft Power BI Data Analyst Certification Exam Topics

Microsoft Power BI Data Analyst Certification Exam Topics are below:

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

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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The world of IT is changing rapidly. The demand for skilled professionals has reached its peak. With the increase in number of software companies, the competition has also increased. There are a lot of opportunities for professionals with high level skills. One such skill is Microsoft Power BI Data Analyst Certification Exam. This exam is designed to test your knowledge on data analysis concepts and also on different tools that you can use to solve problems related to data analysis.

There are many ways to get certified as a data analyst or BI professional. You can go through a formal education program or attend classes offered by various institutions and organizations. However, if you want to ensure that you get the best job opportunities and get hired easily, then getting certified is what you need to do. Here at ActualPDF our Microsoft PL-300 Dumps will help you to get certified. Basic measures of column chart scenario have scenario based questions that shared dataset of calculated table.

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Microsoft PL-300日本語 Exam Syllabus Topics:

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

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