Microsoft PL-300日本語 dumps - in .pdf

PL-300日本語 pdf
  • Exam Code: PL-300日本語
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Aug 28, 2026
  • Q & A: 472 Questions and Answers
  • PDF Price: $69.99

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  • Exam Code: PL-300日本語
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Aug 28, 2026
  • Q & A: 472 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日本語 dumps - Testing Engine

PL-300日本語 Testing Engine
  • Exam Code: PL-300日本語
  • Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
  • Updated: Aug 28, 2026
  • Q & A: 472 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

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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.

Skills measured

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

The Importance Of Microsoft Power BI Data Analyst Certification Exam For A Career In IT

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 TestsDumps 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.

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

Microsoft PL-300日本語 Exam Syllabus Topics:

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

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