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Microsoft 070-779 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model Data | 35-40% | - Optimize model performance
|
| Topic 2: Visualize Data | 30-35% | - Integrate with Power BI
|
| Topic 3: Consume and Transform Data by Using Microsoft Excel | 30-35% | - Clean and transform data
|
070-779 Exam FAQ — Your Strong Partner
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The Microsoft Analyzing and Visualizing Data with Microsoft Excel blueprint spans 3 domains — including Visualize Data (30-35%), Model Data (35-40%), Consume and Transform Data by Using Microsoft Excel (30-35%). All three versions of our material cover the same content, with no discrepancy; the complete outline above lists every subtopic.
The Microsoft Analyzing and Visualizing Data with Microsoft Excel is Microsoft's certification exam for MCSA: BI Reporting, at the Associate / MCSA level. It's a fundamental element for a higher position and a more promising future. Related credentials include 70-778: Analyzing and Visualizing Data with Power BI.
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After any course, keep practicing with the 118 practice questions for the Microsoft Analyzing and Visualizing Data with Microsoft Excel — every answer expert-verified.
Microsoft Analyzing and Visualizing Data with Microsoft Excel Sample Questions:
You add two tables named Date and Invoices to a data model, Invoices contains a column named InvoiceDate that has a Data Type of Date, Date contains a column named DateID that has a Data Type of which Number.
DateID is in the format of YYYYMMDD.
You need to create a relationship between Date and Invoices.
What should you do first?
- A. Create a calculated column in Invoices that uses the Format DAX function.
- B. Change the Data Type of InvoiceDate and DateID to Text.
- C. Change the Data Type of DateID to Date.
- D. Create a measure in Invoices that uses the Format DAX Function.
Correct Answer: C 🗳️
Explanation: Only visible for TestsDumps members. You can sign-up / login (it's free).
You have a data model that contains a table named SalesOrders has four columns named Orderld, SalesAmount, OrderDate, and Territory.
You plan to create a PivotChart that will display the percentage of SalesAmount for each Territory.
You need to create a measure to calculate the percentage of sales of each territory.
How should you complete the DAX formula? To answer, drag the appropriate value to the correct targets.
Each value may be used once, more than once, or not at all. You need to drag the split bar between panes or scroll to view content.
Correct Answer:

Explanation
SUM([SalesAmount) / ALL(SalesOrders) /(FILTER , ALL(SalesOrders))
You have a date column named [Date] in the format of mm-dd-yyyy.
You need to create a column named Quarter that displays the yearly quarter. A sample of the desired data is shown in the following table.
How should you complete the DAX formula? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation
MONTH3
="Qtr " & ROUNDUP(MONTH([Date])/3,0)
="Qtr " & ROUNDUP(MONTH([Date])/3,0)
http://www.decisivedata.net/blog/quickly-create-week-month-quarter-and-year-fields-from-a-date-using-dax
You have a workbook query that loads data from a table named Products.
Products contains a column named IntemalPrice that has a Data Type of Decimal.
From Query Editor you create a custom column named ResellerPrice that uses a formula to multiply InternalPrice by 1.2, and then you remove the IntemalPrice column.
What will occur when you load the data to a worksheet?
- A. An error message will appear and all the data will fail to load.
- B. All the columns except InternalPrice will load to the worksheet. The values in ResellerPrice will be null.
- C. An error message will appear and all the columns except InternalPnce and ResellerPrice will load to the worksheet.
- D. All the columns except InternalPrice will load to the worksheet The values in ResellerPrice will be correct.
Correct Answer: B 🗳️
Note: This question is part of a series of questions that use the same scenario, For your convenience is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is the same in each question in this series.
Start of repeated scenario
You have six workbook queries that each extracts a table from a Microsoft Azure SQL database. The tables are loaded to the data model, but the data is not loaded to any worksheets. The data model is shown in the Data Model exhibit.
Your company has 100 product subcategories and more than 10,000 products.
End of repeated scenario.
You need to create a measure named [Sales Monthly RT] that calculates a running total of [Sales] for each date within a month as shown in the following exhibit.
How should you complete the DAX formula? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation
SUM [Sales], DATESMTD
The following sample formula creates a measure that calculates the 'Month To Date Total' for the Internet sales.
To see how this works, create a PivotTable and add the fields, CalendarYear, MonthNumberOfYear and DayNumberOfMonth, to the Row Labels area of the PivotTable. Then add a measure, named Month To Date Total, using the formula defined in the code section, to the Values area of the PivotTable.
=CALCULATE(SUM(InternetSales_USD[SalesAmount_USD]), DATESMTD(DateTime[DateKey]))
https://msdn.microsoft.com/en-us/query-bi/dax/datesmtd-function-dax
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