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Analyzing Data with Microsoft Power BI
DA-100 Dumps
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Sample Question : 1
You need to address the data concerns before creating the
data model. What should you do in Power
Query Editor?
A. Select Column distribution.
B. Select the sales_amount column and apply a number filter.
C. Select Column profile, and then select the sales_amount
column.
D. Transform the sales_amount column to replace negative
values with 0.
Answer: A
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Sample Question : 2
You need to create a calculated column to
display the month based on the reporting
requirements.
Which DAX expression should you use?
A. FORMAT('Date'[date],"MMM YYYY")
B. FORMAT(,Date,[date_id],"WM YYYY")
C. FORMAT('Date'[date],"M YY")
D. FORMAT(‘Date’[date_id]-‘’MM") & " " &
FORMAT ('Date' [year], "#")
Answer: D
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Sample Question : 3
You need to create the required relationship
for the executive's visual. What should you do
before
you can create the relationship?
A. Change the data type of Sales[region_id] to
Whole Number.
B. In the Sales table, add a measure for
sum(sales_amount).
C. Change the data type of sales[sales_id] to
Text.
D. Change the data type of sales [region_id] to
Decimal Number.
Answer: C
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Sample Question : 4
You need to create a relationship between the Weekly_Returns table
and the Date table to meet the
reporting requirements of the regional managers. What should you do?
A. In the Weekly.Returns table, create a new calculated column named
date-id in a format of
yyyymmdd and use the calculated column to create a relationship to
the Date table.
B. Add the Weekly_Returns data to the Sales table by using related DAX
functions.
C. Create a new table based on the Date table where date-id is unique,
and then create a many-tomany
relationship to Weekly_Return.
Answer: A
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Analyzing Data with Microsoft Power BI
DA-100 Dumps
Click here for more information
https://www.realexamcollection.com/microsoft/da-100-dumps.html
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