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

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

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

Microsoft 070-779 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Analyzing and Visualizing Data with Microsoft Excel
Exam Number:70-779
Available Languages:English
Real Exam Qty:40-60
Exam Duration:120 minutes
Exam Format:Multiple choice, Multiple response, Scenario-based, Performance-based
Exam Price:$165 USD (varies by region)
Passing Score:700 / 1000
Related Certifications:70-778: Analyzing and Visualizing Data with Power BI
Certificate Validity Period:Retired January 31, 2021; previously valid for 2 years
Recommended Training:Microsoft Learn BI Reporting Learning Path
Microsoft Official Exam Ref 70-779
Exam Registration:Microsoft Learn Exam Page
Sample Questions:Microsoft 070-779 Sample Questions
Exam Way:Proctored onsite or online via Microsoft authorized partners; retired since Jan 31, 2021
Pre Condition:No formal prerequisites; recommended strong Excel proficiency and basic data analysis experience
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/70-779/

Schedule exam

Languages: English

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.

Who should take the 70-779 exam

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.

Microsoft 070-779 Exam Syllabus Topics:

SectionWeightObjectives
Visualize Data30-35%- Integrate with Power BI
  • 1. Refresh and share reports
    • 2. Publish Excel data/models to Power BI
      - Create and format PivotCharts and visuals
      • 1. Create interactive dashboards
        • 2. Format charts and apply conditional formatting
          • 3. Select appropriate chart types
            - Create and manage PivotTables
            • 1. Apply filters, slicers, and timelines
              • 2. Design and configure PivotTables
                • 3. Group and sort data
                  Model Data35-40%- Implement DAX calculations
                  • 1. Use basic and advanced DAX functions
                    • 2. Create measures, KPIs, and calculated tables
                      • 3. Work with filter context and row context
                        - Create and manage data models
                        • 1. Enable and use Power Pivot
                          • 2. Define tables, columns, and relationships
                            • 3. Create hierarchies and calculated columns
                              - Optimize model performance
                              • 1. Reduce data size and cardinality
                                • 2. Set appropriate data types and indexing
                                  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. Import from text, CSV, XML, JSON, web, databases
                                        • 2. Use Power Query to connect to data
                                          - Clean and transform data
                                          • 1. Remove duplicates, handle missing values
                                            • 2. Change data types and format values
                                              • 3. Apply query parameters and M language
                                                • 4. Split, merge, unpivot, and append columns/tables

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