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

070-779

Exam Code: 070-779

Exam Name: Analyzing and Visualizing Data with Microsoft Excel

Updated: Aug 11, 2026

Q & A: 118 Questions and Answers

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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:

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

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

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Languages: English

Candidates for this exam should have a strong understanding of how to use Microsoft Excel to perform data analysis. Candidates should be able to consume, transform, model, and visualize data in Excel. Candidates should also be able to configure and manipulate data in PowerPivot, PivotTables, and PivotCharts. Candidates may include BI professionals, data analysts, and other roles responsible for analyzing data with Excel.

Microsoft 070-779 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Visualize Data30-35%- 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
            - Create and format PivotCharts and visuals
            • 1. Format charts and apply conditional formatting
              • 2. Create interactive dashboards
                • 3. Select appropriate chart types
                  Topic 2: Model Data35-40%- Create and manage data models
                  • 1. Define tables, columns, and relationships
                    • 2. Enable and use Power Pivot
                      • 3. Create hierarchies and calculated columns
                        - 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
                                  Topic 3: Consume and Transform Data by Using Microsoft Excel30-35%- Import data from multiple sources
                                  • 1. Import from text, CSV, XML, JSON, web, databases
                                    • 2. Use Power Query to connect to data
                                      - Manage query settings and load
                                      • 1. Set load options and refresh properties
                                        • 2. Combine and append queries
                                          - Clean and transform data
                                          • 1. Split, merge, unpivot, and append columns/tables
                                            • 2. Change data types and format values
                                              • 3. Remove duplicates, handle missing values
                                                • 4. Apply query parameters and M language

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                                                  070-779 - Analyzing and Visualizing Data with Microsoft Excel
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