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 01, 2026   Q&As: 118 Questions and Answers

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

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

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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.

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

How to study the 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%- Manage query settings and load
  • 1. Set load options and refresh properties
    • 2. Combine and append queries
      - 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. Split, merge, unpivot, and append columns/tables
            • 2. Remove duplicates, handle missing values
              • 3. Apply query parameters and M language
                • 4. Change data types and format values
                  Topic 2: Visualize Data30-35%- Create and format PivotCharts and visuals
                  • 1. Format charts and apply conditional formatting
                    • 2. Select appropriate chart types
                      • 3. Create interactive dashboards
                        - 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. Group and sort data
                                • 3. Apply filters, slicers, and timelines
                                  Topic 3: Model Data35-40%- Create and manage data models
                                  • 1. Create hierarchies and calculated columns
                                    • 2. Define tables, columns, and relationships
                                      • 3. Enable and use Power Pivot
                                        - Implement DAX calculations
                                        • 1. Create measures, KPIs, and calculated tables
                                          • 2. Use basic and advanced DAX functions
                                            • 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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