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  • Total Questions: 118
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In 2026, trying the demo takes minutes: open the Microsoft Analyzing and Visualizing Data with Microsoft Excel page, enter your email, and download the free PDF sample. It is the easiest way to see whether the 118 practice questions on Lead1Pass match how you study.

Microsoft 70-779 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Analyzing and Visualizing Data with Microsoft Excel
Exam Number:70-779
Available Languages:English
Passing Score:700 / 1000
Certificate Validity Period:Retired January 31, 2021; previously valid for 2 years
Related Certifications:70-778: Analyzing and Visualizing Data with Power BI
Exam Format:Multiple response, Scenario-based, Multiple choice, Performance-based
Real Exam Qty:40-60
Exam Price:$165 USD (varies by region)
Exam Duration:120 minutes
Recommended Training:Microsoft Learn BI Reporting Learning Path
Microsoft Official Exam Ref 70-779
Exam Registration:Microsoft Learn Exam Page
Sample Questions: DOWNLOAD DEMO
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/

Microsoft 70-779 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Visualize Data30-35%- Create and format PivotCharts and visuals
  • 1. Format charts and apply conditional formatting
    • 2. Create interactive dashboards
      • 3. Select appropriate chart types
        - Create and manage PivotTables
        • 1. Group and sort data
          • 2. Apply filters, slicers, and timelines
            • 3. Design and configure PivotTables
              - Integrate with Power BI
              • 1. Publish Excel data/models to Power BI
                • 2. Refresh and share reports
                  Topic 2: Consume and Transform Data by Using Microsoft Excel30-35%- Manage query settings and load
                  • 1. Set load options and refresh properties
                    • 2. Combine and append queries
                      - 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. Change data types and format values
                            • 2. Split, merge, unpivot, and append columns/tables
                              • 3. Remove duplicates, handle missing values
                                • 4. Apply query parameters and M language
                                  Topic 3: Model Data35-40%- 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. Use basic and advanced DAX functions
                                          • 3. Create measures, KPIs, and calculated tables
                                            - Create and manage data models
                                            • 1. Create hierarchies and calculated columns
                                              • 2. Enable and use Power Pivot
                                                • 3. Define tables, columns, and relationships

                                                  Frequently Asked Questions About Microsoft Analyzing and Visualizing Data with Microsoft Excel

                                                  Microsoft Learn Exam Page: register for 70-779

                                                  No formal prerequisites; recommended strong Excel proficiency and basic data analysis experience

                                                  • Model Data (35-40%)
                                                  • Consume and Transform Data by Using Microsoft Excel (30-35%)
                                                  • Visualize Data (30-35%)

                                                  Allocate study time in proportion to each topic's weight.

                                                  The 70-779 exam has 40-60 questions with a 120 minutes-minute time limit. Practicing under the same constraints on Lead1Pass builds the pacing habits you will need on test day.

                                                  The PC engine installs on your computer and simulates the real exam scenario with timed tests and performance marking. The online engine runs in your browser, needs no installation, works on most devices, and is often the more stable option when you switch machines frequently.

                                                  Microsoft Official Exam Ref 70-779: Visit official page

                                                  Microsoft Learn BI Reporting Learning Path: Visit official page

                                                  A passing result on 70-779 requires 700 / 1000, and the official exam fee is $165 USD (varies by region). Knowing both numbers upfront helps you budget your study time and money realistically.

                                                  The package includes 118 practice questions for the 70-779 exam, covering the current Microsoft Analyzing and Visualizing Data with Microsoft Excel objectives with verified answers.

                                                  We support Credit Card payment because it is built around buyer protection: if a purchase issue ever arises, the card network's dispute process protects your money. Combined with our refund policy, that keeps your Microsoft Analyzing and Visualizing Data with Microsoft Excel purchase low-risk.

                                                  Microsoft Analyzing and Visualizing Data with Microsoft Excel Sample Questions:

                                                  You create an Excel workbook named SalesResults.xlsx. You create a workbook query that connects to a Microsoft SQL Server database and loads data to the data model. You create a PivotTable and a PivotChart.
                                                  You plan to share SalesResults.xlsx to several users outside of your organization.
                                                  You need to ensure that the users can see the PivotTable and the PivotChart when they open the file. The data in the model must be removed.
                                                  What should you do?

                                                  • A. Modify the source of the query.
                                                  • B. From Query Editor, open the Data Source Settings and delete the credentials.
                                                  • C. Save the workbook as an Excel Binary Workbook (.xlsb).
                                                  • D. Run the Document Inspector.
                                                  Reveal Solution  Discussion  0

                                                  Correct Answer: B  🗳️

                                                  You have a model that contains the following table named Sales.

                                                  You have a measure named TotalSales that calculates the sum of LineTotal.
                                                  You plan to create a PivotChart to display TotalSales for each category and the percent of total sales for each category as shown in the following exhibit.

                                                  How should you complete the DAX formula for the Percent measure? To answer, drag the appropriate fields to the correct areas. Each field may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
                                                  NOTE: Each correct selection is worth one point.

                                                  Reveal Solution  Discussion  0

                                                  Correct Answer:


                                                  Explanation
                                                  DIVIDE(TotalSales , CALCULATE(LineTotal, ALL(TotalSales), 0))

                                                  Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is the same in each question in this series.
                                                  Start of repeated scenario
                                                  You have six workbook queries that each extracts a table from a Microsoft Azure SQL database. The table are loaded to the data model, but the data is not loaded to any worksheets. The data model is shown in the Data Model exhibit. (Click the Exhibit button.)

                                                  Your company has 100 products subcategories and more than 10,000 products.
                                                  End of repeated scenario.
                                                  You need to create a chart as shown in the following exhibit.

                                                  Which field should you use for each area? To answer, drag the appropriate field to the correct areas. Each field may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
                                                  NOTE: Each correct selection is worth one point.

                                                  Reveal Solution  Discussion  0

                                                  Correct Answer:


                                                  Explanation
                                                  Axis: Month Year
                                                  Legend: Channel Name
                                                  Values: SalesAmount

                                                  Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
                                                  After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
                                                  You have a Power Pivot model that contains the following tables.

                                                  There is a relationship between Products and ProductCategory.
                                                  You need to create a hierarchy in Products that contains ProductCategoryName and ProductName.
                                                  Solution: You create a calculated column that uses the RELATED DAX function Does this meet the goal?

                                                  • A. No
                                                  • B. Yes
                                                  Reveal Solution  Discussion  0

                                                  Correct Answer: B  🗳️

                                                  Explanation: Only visible for Lead1Pass members. You can sign-up / login (it's free).

                                                  You have a workbook query that uses an Excel data source. The data source contains the following table.

                                                  You need the data to appear as shown in the following table.

                                                  How should you transform the data from Query Editor? To answer, select the appropriate options in the answer area.
                                                  NOTE: Each correct selection is worth one point.

                                                  Reveal Solution  Discussion  0

                                                  Correct Answer:


                                                  Explanation

                                                  Box 1: User and UserID
                                                  Box 2: Unpivot Columns
                                                  References:
                                                  https://support.office.com/en-us/article/unpivot-columns-power-query-0f7bad4b-9ea1-49c1-9d95-f588221c7098

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