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

Microsoft 070-779 test insides dumps
  • 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 Analyzing and Visualizing Data with Microsoft Excel : 070-779 exam dumps

Certification Path

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

What is the duration of the 70-779 Exam

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

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

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 070-779 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
        - 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. Publish Excel data/models to Power BI
                • 2. Refresh and share reports
                  Topic 2: Model Data35-40%- Create and manage data models
                  • 1. Create hierarchies and calculated columns
                    • 2. Enable and use Power Pivot
                      • 3. Define tables, columns, and relationships
                        - Implement DAX calculations
                        • 1. Create measures, KPIs, and calculated tables
                          • 2. Work with filter context and row context
                            • 3. Use basic and advanced DAX functions
                              - Optimize model performance
                              • 1. Set appropriate data types and indexing
                                • 2. Reduce data size and cardinality
                                  Topic 3: 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
                                      - 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
                                              - Manage query settings and load
                                              • 1. Combine and append queries
                                                • 2. Set load options and refresh properties

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