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

Exam Code: PL-300日本語
Exam Name: Microsoft Power BI Data Analyst (PL-300日本語版)
Updated: Aug 24, 2026
Q & A: 472 Questions and Answers

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

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Passing Score, Duration & Questions For Microsoft PL-300 Exam

Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian
Number of Questions: 40-60 questions
The passing score: 700
Time Duration: 180 minutes

Microsoft PL-300日本語 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Visualize and analyze data	25-30%	- Enhance reports with analytics 1. Create paginated reports 2. Apply conditional formatting and custom visuals 3. Use AI visuals, forecasts, and key influencers - Create reports and dashboards 1. Design report layout, formatting, and interactivity 2. Choose appropriate visualizations 3. Create dashboards and pinned elements 4. Apply filters, slicers, and drill-through - Perform data analysis 1. Create and manage bookmarks and tooltips 2. Implement custom visuals and R/Python scripts 3. Interpret results and identify trends
Topic 2: Prepare the data	25-30%	- Get or connect to data 1. Choose storage modes: Import, DirectQuery, DirectLake 2. Identify and connect to data sources or shared semantic models 3. Configure data source settings, credentials, and privacy levels 4. Create and modify parameters - Load and configure data 1. Define table structures and properties 2. Configure data refresh settings 3. Integrate data from multiple sources - Profile and clean data 1. Resolve inconsistencies, null values, and errors 2. Transform data using Power Query Editor 3. Evaluate data statistics and column properties 4. Manage data types, columns, and rows
Topic 3: Manage and secure Power BI	15-20%	- Manage workspaces and assets 1. Publish, update, and organize reports/datasets 2. Create and configure workspaces 3. Manage data refresh and scheduled updates - Deploy and distribute content 1. Share reports, dashboards, and apps 2. Embed content in applications or websites 3. Monitor usage and performance - Implement security and governance 1. Apply data sensitivity labels and protection 2. Configure row-level security (RLS) and object-level security 3. Manage permissions and access
Topic 4: Model the data	25-30%	- Create model calculations 1. Use DAX: calculated columns, calculated tables, measures 2. Implement aggregation and time intelligence 3. Use CALCULATE and filter context - Optimize model performance 1. Optimize relationships and calculations 2. Reduce cardinality and data size 3. Use aggregations and composite models - Design data models 1. Implement role-playing dimensions 2. Create common date tables 3. Define tables, columns, and hierarchies 4. Create relationships: cardinality, cross-filter direction, security

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