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Actualkey Prepration Latest 70-779 : Analyzing and Visualizing Data with Microsoft Excel Questions and Answers PDF's, Verified Answers via Experts - Pass Your Exam For Sure and instant Downloads - "Money Back Guarantee".
| Vendor | Microsoft |
| Certification | MCSA |
| Exam Code | 70-779 |
| Title | Analyzing and Visualizing Data with Microsoft Excel |
| No Of Questions | 109 |
| Last Updated | July 1,2024 |
| Product Type | Q & A with Explanation |
| Bundel Pack Included | PDF + Offline / Andriod Testing Engine and Simulator |
70-779
Analyzing and Visualizing Data with Microsoft Excel
Published: July 31, 2017
Languages: English
Audiences: BI professionals, data analysts
Technology: Microsoft Excel, Power BI
Credit toward certification: MCSA
This Training Covers
This exam measures your ability to accomplish the technical tasks listed below. View video tutorials about the variety of question types on Microsoft exams.
Please note that the questions may test on, but will not be limited to, the topics described in the bulleted text.
Do you have feedback about the relevance of the skills measured on this exam? Please send Microsoft your comments. All feedback will be reviewed and incorporated as appropriate while still maintaining the validity and reliability of the certification process. Note that Microsoft will not respond directly to your feedback. We appreciate your input in ensuring the quality of the Microsoft Certification program.
If you have concerns about specific questions on this exam, please submit an exam challenge.
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Consume and Transform Data by Using Microsoft Excel (30-35%)
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
Model Data (35-40%)
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
Visualize Data (30-35%)
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
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