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  • 070-779 (Analyzing and Visualizing Data with Microsoft Excel)
Exam Code: 070-779
Exam Name: Analyzing and Visualizing Data with Microsoft Excel
Certification Provider: Microsoft
Corresponding Certification: Microsoft Excel - Power BI - MCSA

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070-779

Last Updated: Aug 07, 2026

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Reference: https://www.microsoft.com/en-us/learning/exam-70-779.aspx

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Microsoft 070-779 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Consume and Transform Data by Using Microsoft Excel30-35%- Clean and transform data
  • 1. Change data types and format values
    • 2. Split, merge, unpivot, and append columns/tables
      • 3. Apply query parameters and M language
        • 4. Remove duplicates, handle missing values
          - Manage query settings and load
          • 1. Set load options and refresh properties
            • 2. Combine and append queries
              - Import data from multiple sources
              • 1. Import from text, CSV, XML, JSON, web, databases
                • 2. Use Power Query to connect to data
                  Topic 2: Model Data35-40%- Optimize model performance
                  • 1. Set appropriate data types and indexing
                    • 2. Reduce data size and cardinality
                      - Create and manage data models
                      • 1. Define tables, columns, and relationships
                        • 2. Create hierarchies and calculated columns
                          • 3. Enable and use Power Pivot
                            - Implement DAX calculations
                            • 1. Work with filter context and row context
                              • 2. Use basic and advanced DAX functions
                                • 3. Create measures, KPIs, and calculated tables
                                  Topic 3: Visualize Data30-35%- Create and format PivotCharts and visuals
                                  • 1. Select appropriate chart types
                                    • 2. Create interactive dashboards
                                      • 3. Format charts and apply conditional formatting
                                        - Create and manage PivotTables
                                        • 1. Apply filters, slicers, and timelines
                                          • 2. Group and sort data
                                            • 3. Design and configure PivotTables
                                              - Integrate with Power BI
                                              • 1. Refresh and share reports
                                                • 2. Publish Excel data/models to Power BI

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