Passing Analyzing and Visualizing Data with Microsoft Excel actual test, valid 070-779 test braindump

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

Exam Code: 070-779

Exam Name: Analyzing and Visualizing Data with Microsoft Excel

Updated: Aug 07, 2026

Q & A: 118 Questions and Answers

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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.

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Microsoft 70-779 Exam Reference

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

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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:

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

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Microsoft 070-779 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Model Data35-40%- Optimize model performance
  • 1. Set appropriate data types and indexing
    • 2. Reduce data size and cardinality
      - 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
            - Create and manage data models
            • 1. Define tables, columns, and relationships
              • 2. Enable and use Power Pivot
                • 3. Create hierarchies and calculated columns
                  Topic 2: Visualize Data30-35%- Create and manage PivotTables
                  • 1. Group and sort data
                    • 2. Apply filters, slicers, and timelines
                      • 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. Select appropriate chart types
                              • 2. Create interactive dashboards
                                • 3. Format charts and apply conditional formatting
                                  Topic 3: 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. Remove duplicates, handle missing values
                                        • 4. Change data types and format 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. Set load options and refresh properties
                                                • 2. Combine and append queries

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