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Microsoft 070-779 valid exam - in .pdf Free Demo

  • Exam Code: 070-779
  • Exam Name: Analyzing and Visualizing Data with Microsoft Excel
  • Last Updated: Jul 27, 2026
  • Q & A: 118 Questions and Answers
  • Convenient, easy to study. Printable Microsoft 070-779 PDF Format. It is an electronic file format regardless of the operating system platform. 100% Money Back Guarantee.
  • PDF Price: $59.98    

Microsoft 070-779 valid exam - Testing Engine PC Screenshot

  • Exam Code: 070-779
  • Exam Name: Analyzing and Visualizing Data with Microsoft Excel
  • Last Updated: Jul 27, 2026
  • Q & A: 118 Questions and Answers
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About Microsoft 070-779 Valid Exam Questions

What is the duration of the 70-779 Exam

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

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

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%

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

Microsoft 070-779 Exam Syllabus Topics:

SectionWeightObjectives
Model Data35-40%- Optimize model performance
  • 1. Reduce data size and cardinality
    • 2. Set appropriate data types and indexing
      - 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. Work with filter context and row context
              • 2. Use basic and advanced DAX functions
                • 3. Create measures, KPIs, and calculated tables
                  Consume and Transform Data by Using Microsoft Excel30-35%- Manage query settings and load
                  • 1. Combine and append queries
                    • 2. Set load options and refresh properties
                      - 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
                                  Visualize Data30-35%- Integrate with Power BI
                                  • 1. Publish Excel data/models to Power BI
                                    • 2. Refresh and share reports
                                      - Create and manage PivotTables
                                      • 1. Apply filters, slicers, and timelines
                                        • 2. Design and configure PivotTables
                                          • 3. Group and sort data
                                            - Create and format PivotCharts and visuals
                                            • 1. Create interactive dashboards
                                              • 2. Format charts and apply conditional formatting
                                                • 3. Select appropriate chart types

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