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Microsoft Analyzing and Visualizing Data with Microsoft Excel - 070-779 real prep

070-779
  • Exam Code: 070-779
  • Exam Name: Analyzing and Visualizing Data with Microsoft Excel
  • Updated: Aug 16, 2026
  • Q & A: 118 Questions and Answers
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About Microsoft 070-779: Analyzing and Visualizing Data with Microsoft Excel

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

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

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Analyzing and Visualizing Data with Microsoft Excel 70-779 Exam

Analyzing and Visualizing Data with Microsoft Excel 70-779 Exam which is related to MCSA: BI Reporting Certification. This exam measures and validates the Candidates ability to accomplish the technical tasks like import from data sources, perform data transformations and create calculated columns, measures, and tables. BI Professionals, Data Analysts, and Microsoft Excel Model Data Visualizer usually hold or pursue this certification and you can expect the same job role after completion of this certification.

Microsoft 070-779 Exam Syllabus Topics:

SectionWeightObjectives
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
      - Manage query settings and load
      • 1. Set load options and refresh properties
        • 2. Combine and append queries
          - Clean and transform data
          • 1. Apply query parameters and M language
            • 2. Change data types and format values
              • 3. Remove duplicates, handle missing values
                • 4. Split, merge, unpivot, and append columns/tables
                  Visualize Data30-35%- Create and manage PivotTables
                  • 1. Group and sort data
                    • 2. Design and configure PivotTables
                      • 3. Apply filters, slicers, and timelines
                        - 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. Refresh and share reports
                                • 2. Publish Excel data/models to Power BI
                                  Model Data35-40%- Create and manage data models
                                  • 1. Enable and use Power Pivot
                                    • 2. Define tables, columns, and relationships
                                      • 3. Create hierarchies and calculated columns
                                        - 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

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