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Analyzing and Visualizing Data with Microsoft Power BI | https://www.dumps4download.com/70-778-dumps.html\nDiversity of concepts is covered by Microsoft and it has caused difficulty for candidates. They need to get the sense of all those diverse concepts simultaneously that brings complications. It was more challenging task for students to find a suitable syllabus for preparation. But now this challenge has been tackled by our experts who are trying to provide to-the-point-information about all these diverse concepts. If you are also going to appear in Microsoft you can simply download 70-778 exam dumps to get it passed by the first attempt. Conciseness and comprehensiveness are the qualities of this dumps material. To check the quality of our material you can download free demo questions which will speak about the whole material.

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preparing for microsoft certification exam 70 778

Preparing for Microsoft Certification Exam 70-778

70-778 Dumps PDF

Analyzing and Visualizing Data with Microsoft Power BI

exam 70 778

Exam 70-778

Analyzing and Visualizing Data with Microsoft Power BI

Published:July 31, 2017

Languages:English

Audiences:BI professionals, data analysts

Technology:Microsoft Excel

Credit toward certification:MCSA

$165.00 USD*

who should take this exam

Who should take this exam?

Candidates for this exam should have a good understanding of how to use Power BI to perform data analysis. Candidates should be proficient in connecting to data sources and performing data transformations, modeling and visualizing data by using Microsoft Power BI Desktop, and configuring dashboards by using the Power BI service. Candidates should also be proficient in implementing direct connectivity to Microsoft SQL Azure and SQL Server Analysis Services (SSAS), and implementing data analysis in Microsoft Excel. Candidates may include BI professionals, data analysts, and other roles responsible for creating reports by using Power BI.

demo questions

DEMO QUESTIONS

Question 1:

You manage a Power BI model has a table named Sales.

You need to ensure that a sales team can view only data that has a CountryRegionName value of United States and a ProductCategory value of Clothing.

What should you do from Power BI Desktop?

A. From Power BI Desktop, create a new role that has the following filter.[countryRegionName]= “United States” && [ProductCategory]= “Clothing”

B. Add the following filters in Query Editor.CountryRegionName is United StatesProductCategory is Clothing

C. From Power BI Desktop, create a new role that has the following filters.[CountryRegionName]= “United States”

D. Add the following filters to a report.CountryRegionName is United SatesProductCategory is Clothing

Answer: D

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question 2

Question 2:

You have a Power BI model for sales data.

You need to create a measure to calculate the year-to-date sales and to compare those sales to the previous year for the same time period.

Which DAX function should you use?

A. PARALLELPERIOD

B. SAMEPERIODLAST YEAR

C. DATESYTD

D. PREVIOUSYEAR

Answer: A

https://goo.gl/5MvfF4

question 3

Question 3:

Note: This question is a part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result,

these questions will not appear in the review screen.

You have a query for a table named Sales. Sales has a column named CustomerID. The Data type of CustomerID is Whole Number.

You refresh the data and find several errors. You discover that new entries in the Sales table contain nonnumeric values.

You need to ensure that nonnumeric values in the CustomerID column are set to 0.

Solution: From Query Editor, select the CustomerID column and click Remove Errors.

Does this meet the goal?

A. Yes

B. No

Answer: B

https://goo.gl/5MvfF4

updated microsoft 70 778 exam questions

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70-778 Dumps PDF

Analyzing and Visualizing Data with Microsoft Power BI

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