Microsoft 070-779 Q&A - in .pdf

  • 070-779 pdf
  • Exam Code: 070-779
  • Exam Name: Analyzing and Visualizing Data with Microsoft Excel
  • Updated: Aug 05, 2026
  • Q & A: 118 Questions and Answers
  • Convenient, easy to study.
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  • Exam Code: 070-779
  • Exam Name: Analyzing and Visualizing Data with Microsoft Excel
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  • Updated: Aug 05, 2026
  • Q & A: 118 Questions and Answers
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Microsoft 070-779 Q&A - Testing Engine

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

Skills measured

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

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

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Microsoft 070-779 Exam Syllabus Topics:

SectionWeightObjectives
Visualize Data30-35%- Integrate with Power BI
  • 1. Publish Excel data/models to Power BI
    • 2. Refresh and share reports
      - Create and manage PivotTables
      • 1. Apply filters, slicers, and timelines
        • 2. Group and sort data
          • 3. Design and configure PivotTables
            - Create and format PivotCharts and visuals
            • 1. Create interactive dashboards
              • 2. Format charts and apply conditional formatting
                • 3. Select appropriate chart types
                  Model Data35-40%- Create and manage data models
                  • 1. Create hierarchies and calculated columns
                    • 2. Enable and use Power Pivot
                      • 3. Define tables, columns, and relationships
                        - 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
                              - Optimize model performance
                              • 1. Reduce data size and cardinality
                                • 2. Set appropriate data types and indexing
                                  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. Combine and append queries
                                            • 2. Set load options and refresh properties
                                              - Import data from multiple sources
                                              • 1. Use Power Query to connect to data
                                                • 2. Import from text, CSV, XML, JSON, web, databases
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