DA-100日本語
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Microsoft
DA-100日本語 Exam
Analyzing Data with Microsoft Power BI (DA-100日本語版)
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All the information you need to pass Microsoft Analyzing Data with Microsoft Power BI (DA-100日本語版) DA-100日本語 exam and free practice exam verified by ExamDiscuss exam experts.
The DA-100 exam covers various topics related to Power BI, including data modeling, data preparation, data visualization, and data analysis. DA-100J exam consists of multiple-choice questions, scenario-based questions, and hands-on exercises, which test the candidate's ability to create data models, build reports, and use DAX formulas. DA-100J exam also includes questions on data governance, security, and compliance.
Microsoft DA-100 certification is an excellent way for data professionals to demonstrate their expertise in Power BI. It also provides employers with a way to identify qualified candidates for data analysis positions. Analyzing Data with Microsoft Power BI (DA-100日本語版) certification is recognized globally, making it an excellent choice for individuals who want to work in multinational corporations or companies that have a global presence.
Microsoft DA-100 exam is a certification offered by Microsoft to validate the skills and knowledge of data analysts using Microsoft Power BI. DA-100J exam is designed to test the candidate's ability to analyze data, create visualizations, and manage data sources using Power BI. DA-100J exam is meant for individuals who have a strong understanding of data analysis, data visualization, and data modeling.
| Topic | Details |
|---|
| Topic 1 | - Use Dax To Build Complex Measures
- Use Calculate To Manipulate Filter
|
| Topic 2 | - Edit And Configure Interactions Between Visuals
- Configure Conditional Formatting
|
| Topic 3 | - Configure Navigation For A Report
- Format And Configure Visualizations
- Configure Data Classification
|
| Topic 4 | - Resolve Inconsistencies, Unexpected Or Null Values, And Data Quality Issues
|
| Topic 5 | - Implement Row-Level Security Roles
- Flatten Out A Parent-Child Hierarchy
|
| Topic 6 | - Define The Appropriate Level Of Data Granularity
- Identify And Connect To A Data Source
|
| Topic 7 | - Replace Numeric Columns With Measures
- Define Role-Playing Dimensions
|
| Topic 8 | - Apply Data Shape Transformations To Table Structures
- Configure Table And Column Properties
|
| Topic 9 | - Identify Poorly Performing Measures, Relationships, And Visuals
- Apply User-Friendly Value Replacements
|
| Topic 10 | - Use Basic Statistical Functions To Enhance Data
- Apply Cross-Filter Direction And Security Filtering
|
| Topic 11 | - Design And Configure For Accessibility
- Choose An Appropriate Visualization Type
|
| Topic 12 | - Implement Time Intelligence Using Dax
- Identify Query Performance Issues
- Create Semi-Additive Measures
|
| Topic 13 | - Create Hierarchies
- Create Calculated Columns
- Apply User-Friendly Naming Conventions To Columns And Queries
|
| Topic 14 | - Improve Cardinality Levels Through Summarization And By Changing Data Types
|
| Topic 15 | - Define A Relationship's Cardinality And Cross-Filter Direction
- Select A Shared Dataset Or Create A Local Dataset
|
| Topic 16 | - Resolve Many-To-Many Relationships
- Change Data Source Settings
- Examine Data Structures
|
| Topic 17 | - Drilldown Into Data Using Interactive Visuals
- Pin A Live Report Page To A Dashboard
|
