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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.

What is the duration of the 70-779 Exam

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

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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

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

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Microsoft 070-779 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
        - Optimize model performance
        • 1. Set appropriate data types and indexing
          • 2. Reduce data size and cardinality
            - Implement DAX calculations
            • 1. Work with filter context and row context
              • 2. Create measures, KPIs, and calculated tables
                • 3. Use basic and advanced DAX functions
                  Topic 2: Visualize Data30-35%- Create and format PivotCharts and visuals
                  • 1. Select appropriate chart types
                    • 2. Format charts and apply conditional formatting
                      • 3. Create interactive dashboards
                        - Create and manage PivotTables
                        • 1. Design and configure PivotTables
                          • 2. Apply filters, slicers, and timelines
                            • 3. Group and sort data
                              - 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%- Clean and transform data
                                  • 1. Apply query parameters and M language
                                    • 2. Remove duplicates, handle missing values
                                      • 3. Split, merge, unpivot, and append columns/tables
                                        • 4. Change data types and format values
                                          - 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

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