Microsoft Analyzing and Visualizing Data with Microsoft Excel : 070-779

  • Exam Code: 070-779
  • Exam Name: Analyzing and Visualizing Data with Microsoft Excel
  • Updated: Sep 05, 2026     Q & A: 118 Questions and Answers

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

70-779 Exam topics

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our 70-779 exam dumps will include the following topics:

  • Consume and Transform Data by Using Microsoft Excel 30-35%
  • Model Data 35-40%
  • Visualize Data 30-35%

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Microsoft 070-779 Exam Syllabus Topics:

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

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