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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

Learn with Microsoft : 070-779 training material for 100% pass

070-779

Last Updated: Jul 29, 2026

No. of Questions: 118 Questions & Answers with Testing Engine

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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:

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

What is the duration of the 70-779 Exam

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

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

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The Analyzing and Visualizing Data with Microsoft Excel Certification includes only one 70-779 exam.

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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. 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
          - Import data from multiple sources
          • 1. Use Power Query to connect to data
            • 2. Import from text, CSV, XML, JSON, web, databases
              - Manage query settings and load
              • 1. Combine and append queries
                • 2. Set load options and refresh properties
                  Topic 2: 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
                        - Optimize model performance
                        • 1. Set appropriate data types and indexing
                          • 2. Reduce data size and cardinality
                            - 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 manage PivotTables
                                  • 1. Group and sort data
                                    • 2. Apply filters, slicers, and timelines
                                      • 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
                                              - Integrate with Power BI
                                              • 1. Publish Excel data/models to Power BI
                                                • 2. Refresh and share reports

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