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Last Updated: Sep 17, 2026
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The Microsoft 070-779 exam consists of around 40-60 multiple-choice questions that assess the candidate’s knowledge of Excel’s data analysis and visualization tools, as well as their ability to apply these tools to real-world scenarios. 070-779 exam is divided into several sections, each focusing on a specific area of Excel’s data analysis and visualization capabilities. Candidates will need to demonstrate their proficiency in tasks such as creating PivotTables, building data models with Power Pivot, and designing interactive dashboards with Power BI.
Reference: https://www.microsoft.com/en-us/learning/exam-70-779.aspx
Microsoft 070-779 certification exam is open to anyone who is interested in demonstrating their skills in Excel data analysis and visualization. 070-779 exam covers a vast range of topics, including data modeling, querying and shaping data using Power Query, creating PivotTables and PivotCharts, and visualizing data using various kinds of charts and graphs. 070-779 exam also assesses candidates' ability to use advanced pivot table features, such as grouping, filtering, and calculated fields.
To prepare for the Microsoft 070-779 exam, candidates can take advantage of a range of resources. Microsoft offers official training courses and online resources that cover the exam topics in detail. There are also numerous books, blogs, and other online resources that provide tips and strategies for passing the exam. Additionally, candidates can take practice exams to get a sense of the types of questions they can expect on the actual exam.
The Microsoft 070-779 exam covers a range of key topics including data analysis, visualization techniques, data cleansing, and data modeling. It assesses the ability of individuals to filter, sort, and aggregate data, apply statistical techniques to datasets, and visualize data using graphs and other visual aids. 070-779 exam requires individuals to demonstrate their proficiency with Excel's advanced features, including pivot tables, PowerPivot, Power Query, and Power View.
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| Section | Objectives |
|---|---|
| Publish and Share Data | - Manage and consume shared reports - Publish Excel workbooks to Power BI or SharePoint |
| Visualize Data | - Create PivotTables and PivotCharts - Apply filters, slicers, and conditional formatting - Design interactive dashboards in Excel |
| Model Data | - Create calculated columns and measures using DAX - Define relationships between tables - Create and manage data models using Power Pivot |
| Consume and Transform Data | - Clean, shape, and transform data - Get data from various sources using Excel and Power Query - Combine and append datasets |
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