070-779 exam dumps

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  • Exam Code: 070-779
  • Exam Name: Analyzing and Visualizing Data with Microsoft Excel
  • No. of Questions: 118 Questions and Answers
  • Updated: Jul 21, 2026

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  • Total Questions: 118
  • Updated on: Jul 21, 2026
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  • Total Questions: 118
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  • Total Questions: 118
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To pass the exam, candidates must demonstrate their proficiency in using Excel's data analysis and visualization tools, such as PivotTables, Power Pivot, and Power View. They must also be able to work with data from various sources, including SQL Server, Access, and other databases. Additionally, candidates must have a good understanding of Excel's data modeling and forecasting capabilities, as well as be able to use Excel to create interactive dashboards and reports. Overall, passing the Microsoft 070-779 Exam requires a deep understanding of Excel's advanced features and their practical applications in real-world data analysis scenarios.

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Microsoft 070-779 exam is designed for individuals who want to demonstrate their ability to analyze and visualize data using Microsoft Excel. 070-779 exam is intended for data analysts, business analysts, and other professionals who work with data on a regular basis. Passing 070-779 exam demonstrates a candidate’s proficiency in using Excel to analyze and visualize data, as well as their ability to leverage Excel’s advanced features to create powerful data models.

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

The Microsoft 070-779 exam consists of 40-60 questions and has a time limit of 2 hours. The questions may take the form of multiple-choice, drag and drop, or scenario-based problem-solving. There may also be a practical test where you have to perform specific tasks in Excel. To succeed in the exam, you should have experience working with Excel and be proficient in using its advanced features for data analysis and visualization.

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Microsoft 070-779 Certification Exam is recommended for data analysts, business analysts, financial analysts, project managers, and anyone who wants to build a career in data analysis and visualization. Analyzing and Visualizing Data with Microsoft Excel certification is recognized by industries worldwide and can be a stepping stone to higher-level certifications in data analytics and Microsoft BI. Analyzing and Visualizing Data with Microsoft Excel certification will empower you to showcase your skills and knowledge to your employer or potential clients and increase your job prospects in a highly competitive job market.

Microsoft 070-779 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Model Data35-40%- Create and manage data models
  • 1. Define tables, columns, and relationships
    • 2. Create hierarchies and calculated columns
      • 3. Enable and use Power Pivot
        - 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 2: 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. Format charts and apply conditional formatting
                          • 2. Create interactive dashboards
                            • 3. Select appropriate chart types
                              - Integrate with Power BI
                              • 1. Refresh and share reports
                                • 2. Publish Excel data/models to Power BI
                                  Topic 3: Consume and Transform Data by Using Microsoft Excel30-35%- Import data from multiple sources
                                  • 1. Import from text, CSV, XML, JSON, web, databases
                                    • 2. Use Power Query to connect to data
                                      - Clean and transform data
                                      • 1. Split, merge, unpivot, and append columns/tables
                                        • 2. Change data types and format values
                                          • 3. Remove duplicates, handle missing values
                                            • 4. Apply query parameters and M language
                                              - Manage query settings and load
                                              • 1. Combine and append queries
                                                • 2. Set load options and refresh properties

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