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

  • Exam Code: 070-779
  • Exam Name: Analyzing and Visualizing Data with Microsoft Excel
  • Updated: Aug 27, 2026
  • Q & A: 118 Questions and Answers

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About Microsoft 070-779 Exam Questions

What is the duration of the 70-779 Exam

  • Number of Questions: 45-60
  • Length of Examination: 150 minutes
  • Passing Score: 700/1000
  • Format: Multiple choices, multiple answers

Skills measured

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

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Microsoft Analyzing and Visualizing Data with Microsoft Excel Exam Certification Details:

Books / Training20779A: Analyzing Data with Excel
Exam NameMicrosoft Certified Solutions Associate (MCSA) - BI Reporting
Number of Questions40-60
Duration120 mins
Passing Score700 / 1000
Exam Code70-779
Exam Price$165 (USD)
Schedule ExamPearson VUE
Sample QuestionsMicrosoft Analyzing and Visualizing Data with Microsoft Excel Sample Questions

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

Microsoft 070-779 Exam Syllabus Topics:

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

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