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Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize and analyze the data; and deploy and maintain assets.

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

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Microsoft PL-300日本語 Exam Syllabus Topics:

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

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

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