DA-100 Dumps PDF
Analyzing Data with Microsoft Power BI
Number Of Questions
Data Analyst Associate
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You need to address the data concerns before creating the data model. What should you do in Power
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.
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], “#”)
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.
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.