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Microsoft 070-779 Questions & Answers - in .pdf

070-779 pdf
  • Total Q&A: 118
  • Update: Aug 31, 2026
  • Price: $59.99
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  • Vendor: Microsoft
  • Exam Code: 070-779
  • Exam Name: Analyzing and Visualizing Data with Microsoft Excel
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Microsoft 070-779 Q&A - Testing Engine

070-779 Study Guide
  • Total Q&A: 118
  • Update: Aug 31, 2026
  • Price: $59.99
Testing Engine
  • Vendor: Microsoft
  • Exam Code: 070-779
  • Exam Name: Analyzing and Visualizing Data with Microsoft Excel
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The Analyzing and Visualizing Data with Microsoft Excel 70-779 Exam certification is an internationally recognized validation that identifies persons who earn it as possessing skilled as an MCSA: BI Reporting. If candidates want significant improvement in career growth needs enhanced knowledge, skills, and talents. The Analyzing and Visualizing Data with Microsoft Excel 70-779 Exam certification provides proof of this advanced knowledge and skill. If a candidate has knowledge of associated technologies and skills that are required to pass Analyzing and Visualizing Data with Microsoft Excel 70-779 Exam then he should take this exam.

70-779 Exam topics

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Microsoft Analyzing and Visualizing Data with Microsoft Excel Exam Certification Details:

Schedule ExamPearson VUE
Books / Training20779A: Analyzing Data with Excel
Exam Price$165 (USD)
Exam Code70-779
Exam NameMicrosoft Certified Solutions Associate (MCSA) - BI Reporting
Passing Score700 / 1000
Duration120 mins
Number of Questions40-60
Sample QuestionsMicrosoft Analyzing and Visualizing Data with Microsoft Excel Sample Questions

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

How to book the 70-779 Exam

These are following steps for registering the 70-779 exam. Step 1: Visit to Microsoft Exam Registration Step 2: Signup/Login to MICROSOFT account Step 3: Search for MICROSOFT 70-779 Certifications Exam Step 4: Select Date and Center of examination and confirm with payment value of $165

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
        - Integrate with Power BI
        • 1. Refresh and share reports
          • 2. Publish Excel data/models to Power BI
            - Create and manage PivotTables
            • 1. Apply filters, slicers, and timelines
              • 2. Group and sort data
                • 3. Design and configure PivotTables
                  Topic 2: Model Data35-40%- 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
                        - Optimize model performance
                        • 1. Set appropriate data types and indexing
                          • 2. Reduce data size and cardinality
                            - Create and manage data models
                            • 1. Create hierarchies and calculated columns
                              • 2. Enable and use Power Pivot
                                • 3. Define tables, columns, and relationships
                                  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
                                      - Manage query settings and load
                                      • 1. Set load options and refresh properties
                                        • 2. Combine and append queries
                                          - Clean and transform data
                                          • 1. Split, merge, unpivot, and append columns/tables
                                            • 2. Remove duplicates, handle missing values
                                              • 3. Change data types and format values
                                                • 4. Apply query parameters and M language

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