Microsoft 70-779 : Analyzing and Visualizing Data with Microsoft Excel

70-779 real exams

Exam Code: 70-779

Exam Name: Analyzing and Visualizing Data with Microsoft Excel

Updated: May 30, 2026

Q & A: 118 Questions and Answers

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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.

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.

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

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Microsoft 70-779 Exam Syllabus Topics:

TopicDetailsWeights
Visualize Data

Create and manage PivotTables
-Format PivotTables and PivotCharts, format calculated measures, filter data, group and summarize data

Create and manage PivotCharts
-Select a chart type, format calculated measures, filter data; group and summarize data, use slicers

Interact with Power BI
-Import Excel data from Power BI, manipulate Excel data in Power BI

30-35%
Model Data

Create and optimize data models
-Manage data relationships, optimize models for reporting, manually enter data, perform Get & Transform, create automatic relationships, create manual relationships

Create calculated columns, measures, and tables
-Create DAX queries, create DAX formulas, create Excel formulas

Create performance KPIs
-Calculate the actual value, calculate the target value, calculate actual to target values

Create hierarchies
-Create date hierarchies, create business hierarchies, resolve hierarchy issues

35-40%
Consume and Transform Data by Using Microsoft Excel

Import from data sources
-Connect to and import from databases, files, and folders; connect to Microsoft SQL Azure, Big Data, SQL Server Analysis Services (SSAS), and Power Query; import supported file types; import from other Excel workbooks; link to data from other sources

Perform data transformations
-Design and implement basic and advanced transformations, apply business rules, change data format to support visualization, filter data, format data

Cleanse data
-Manage incomplete data; handle data received as a report; remove unnecessary rows, columns, and data; remove repeating headers

30-35%

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