Microsoft 070-779 Q&A - in .pdf

  • 070-779 pdf
  • Exam Code: 070-779
  • Exam Name: Analyzing and Visualizing Data with Microsoft Excel
  • Updated: Sep 14, 2026
  • Q & A: 118 Questions and Answers
  • Convenient, easy to study.
    Printable Microsoft 070-779 PDF Format. It is an electronic file format regardless of the operating system platform.
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  • PDF Price: $59.98

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  • Exam Code: 070-779
  • Exam Name: Analyzing and Visualizing Data with Microsoft Excel
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  • Updated: Sep 14, 2026
  • Q & A: 118 Questions and Answers
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Microsoft 070-779 Q&A - Testing Engine

  • 070-779 Testing Engine
  • Exam Code: 070-779
  • Exam Name: Analyzing and Visualizing Data with Microsoft Excel
  • Updated: Sep 14, 2026
  • Q & A: 118 Questions and Answers
  • Uses the World Class 070-779 Testing Engine.
    Free updates for one year.
    Real 070-779 exam questions with answers.
    Install on multiple computers for self-paced, at-your-convenience training.
  • Software Price: $59.98
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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.

How much 70-779 Exam Cost

The price of the 70-779 exam is $165 USD.

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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