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

  • 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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About Pass4guide Microsoft 070-779 Sure Pass Exam

Exam 70-779: Analyzing and Visualizing Data with Microsoft Excel

This exam retired on January 31, 2021. For currently available options, please refer to the Browse Certifications and Exams page.

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.

Part of the requirements for: MCSA: BI Reporting

Download exam skills outline

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Following are some reference material for actual Microsoft 070-779 exam test

Skills measured

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

How to book the 70-779 Exam

These are following steps for registering the 70-779 exam. Step 1: Visit to Microsoft Exam Registration Step 2: Signup/Login to MICROSOFT account Step 3: Search for MICROSOFT 70-779 Certifications Exam Step 4: Select Date and Center of examination and confirm with payment value of $165

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Who should take the 70-779 exam

The Analyzing and Visualizing Data with Microsoft Excel 70-779 Exam certification is an internationally recognized validation that identifies persons who earn it as possessing skilled as an MCSA: BI Reporting. If candidates want significant improvement in career growth needs enhanced knowledge, skills, and talents. The Analyzing and Visualizing Data with Microsoft Excel 70-779 Exam certification provides proof of this advanced knowledge and skill. If a candidate has knowledge of associated technologies and skills that are required to pass Analyzing and Visualizing Data with Microsoft Excel 70-779 Exam then he should take this exam.

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

Microsoft 070-779 Exam Syllabus Topics:

SectionWeightObjectives
Visualize Data30-35%- Create and format PivotCharts and visuals
  • 1. Select appropriate chart types
    • 2. Create interactive dashboards
      • 3. Format charts and apply conditional formatting
        - Integrate with Power BI
        • 1. Publish Excel data/models to Power BI
          • 2. Refresh and share reports
            - Create and manage PivotTables
            • 1. Design and configure PivotTables
              • 2. Apply filters, slicers, and timelines
                • 3. Group and sort data
                  Model Data35-40%- Optimize model performance
                  • 1. Reduce data size and cardinality
                    • 2. Set appropriate data types and indexing
                      - 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
                            - Create and manage data models
                            • 1. Create hierarchies and calculated columns
                              • 2. Define tables, columns, and relationships
                                • 3. Enable and use Power Pivot
                                  Consume and Transform Data by Using Microsoft Excel30-35%- Clean and transform data
                                  • 1. Split, merge, unpivot, and append columns/tables
                                    • 2. Apply query parameters and M language
                                      • 3. Change data types and format values
                                        • 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. Import from text, CSV, XML, JSON, web, databases
                                                • 2. Use Power Query to connect to data

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