The 70-779 real exam dumps: Analyzing and Visualizing Data with Microsoft Excel can provide the high speed and high efficient way for you to get the Microsoft Microsoft Excel - Power BI - MCSA certification. 70-779 free practice exam demo are the first step you can take.

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

70-779 Exam Questions
  • Exam Code: 70-779
  • Exam Name: Analyzing and Visualizing Data with Microsoft Excel
  • Updated: Sep 15, 2026
  • Q & A: 118 Questions and Answers
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In addition, the Microsoft 070-779 exam also covers topics related to data mining and statistical analysis in Excel, including data cleansing, transformation, clustering, regression, and correlation. Candidates are expected to demonstrate a good understanding of these topics and be able to apply them in real-world scenarios.

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%
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%
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%

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Microsoft 70-779 exam demo

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