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Microsoft Power BI Data Analyst Certification Exam Reference
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
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
Time Duration: 180 minutes
The passing score: 700
Number of Questions: 40-60 questions
Microsoft PL-300 Deutsch Exam Overview:
| Certification Vendor: | Microsoft |
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| Exam Name: | Microsoft Power BI Data Analyst |
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| Exam Number: | PL-300 |
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| Passing Score: | 700 (scaled score, passing not publicly disclosed) |
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| Exam Format: | Case study, Short answer, Drag and drop, Multiple choice |
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| Related Certifications: | Microsoft Certified: Power BI Data Analyst Associate |
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| Exam Duration: | 120 minutes |
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| Exam Price: | $165.00 USD |
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| Available Languages: | Korean, Japanese, English, Chinese (Simplified) |
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| Real Exam Qty: | 40-60 |
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| Certificate Validity Period: | 1 year |
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| Sample Questions: | Microsoft PL-300 Deutsch Sample Questions |
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| Exam Way: | Online proctored exam (Pearson VUE) or in-person testing center |
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| Pre Condition: | No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam. |
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| Official Syllabus URL: | https://learn.microsoft.com/en-us/certifications/exams/pl-300/ |
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Microsoft Power BI Data Analyst Exam Certification Details:
Microsoft PL-300 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
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| Topic 1: Model the Data | 25-30% | - Develop the data model
- 1. Use the calculation group feature
- 2. Create common date tables
- 3. Create calculated tables and columns
- 4. Configure table relationships
- 5. Implement row-level security roles
- 6. Build hierarchies and hierarchical fields
- Create measures and DAX calculations
- 1. Create calculated measures
- 2. Implement context transition
- 3. Create semi-additive measures
- 4. Use CALCULATE and FILTER functions
- 5. Write and use basic DAX syntax
- 6. Use Time Intelligence functions
- Design a data model
- 1. Determine the appropriate granularity
- 2. Resolve performance issues with relationships
- 3. Implement row-level security
- 4. Apply field metadata and groupings
- 5. Design a star schema or snowflake schema
- 6. Define tables and table schemas
- Optimize model performance
- 1. Validate performance and resolve issues
- 2. Configure aggregations
- 3. Improve user experience by hiding objects
- 4. Optimize Dax queries
- 5. Optimize DirectQuery models
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| Topic 2: Visualize the Data | 25-30% | - Enhance reports for user experience
- 1. Design for mobile and specific layouts
- 2. Add accessibility features and compliance
- 3. Apply artistic formatting to visuals
- 4. Add tooltips and navigation
- 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
- Build visuals
- 1. Apply AI insights and enhanced analytics
- 2. Configure data colors and shapes
- 3. Format and configure pages and report backgrounds
- 4. Configure visual interactions and cross-filtering
- 5. Determine the appropriate visual type
- 6. Apply sorting and filtering to visuals
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| Topic 3: Analyze the Data | 10-15% | - Work with metrics in Power BI
- 1. Create metrics using Microsoft measurements
- 2. Track goals with scorecards
- 3. Define and monitor KPIs
- 4. Use the Decomposition Tree visual
- Perform analysis in Power BI
- 1. Generate Pinn visual insights
- 2. Use the Q&A visual
- 3. Apply Quick Insights
- 4. Identify patterns and trends
- 5. Configure auto-insights
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| Topic 4: Prepare the Data | 10-15% | - Clean, transform, and load the data
- 1. Profile the data
- 2. Configure data loading and queries
- 3. Resolve data quality issues
- 4. Apply user-friendly naming conventions to columns and tables
- 5. Determine proper data types
- 6. Design and build intermediate tables
- 7. Identify the data structure
- Get data from various data sources
- 1. Select a shared dataset or create a local copy
- 2. Configure dataset refresh
- 3. Identify and connect to a data source
- 4. Choose between DirectQuery, Import, and Dual storage modes
- 5. Use Microsoft Fabric and OneLake
- 6. Change data source settings
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| Topic 5: Manage and Maintain Workspace Items | 10-15% | - Create and manage workspaces
- 1. Publish and update a Power BI app
- 2. Endorse sensitive content with sensitivity labels
- 3. Configure workspace membership and roles
- 4. Configure content certification
- Manage datasets
- 1. Manage gateways and data sources
- 2. Resolve dataset permission issues
- 3. Manage dataset refresh scheduling
- 4. Configure dataset metadata and properties
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