Which DAX expression should you use?

Testlet 1

Case Study

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Overview

Litware, Inc. is an online retailer that uses Microsoft Power BI dashboards and reports.

The company plans to leverage data from Microsoft SQL Server databases, Microsoft Excel files, text files, and several other data sources.

Litware uses Azure Active Directory (Azure AD) to authenticate users.

Existing Environment

Sales Data

Litware has online sales data that has the SQL schema shown in the following table.

In the Date table, the date_id column has a format of yyyymmdd and the month column has a format of yyyymm.

The week column in the Date table and the week_id column in the Weekly_Returns table have a format of yyyyww.

The region_id column can be managed by only one sales manager.

Sales Data

Litware, Inc. is an online retailer that uses Microsoft Power BI dashboards and reports.

The company plans to leverage data from Microsoft SQL Server databases, Microsoft Excel files, text files, and several other data sources.

Litware uses Azure Active Directory (Azure AD) to authenticate users.

Data Concerns

You are concerned with the quality and completeness of the sales data. You plan to verify the sales data for negative sales amounts.

Reporting Requirements

Litware identifies the following technical requirements:

– Executives require a visual that shows sales by region.

– Region managers require a visual to analyze weekly sales and returns.

– Sales managers must be able to see the sales data of their respective region only.

– The sales managers require a visual to analyze sales performance versus sales targets.

– The sale department requires reports that contain the number of sales transactions.

– Users must be able to see the month in reports as shown in the following example: Feb 2020.

– The customer service department requires a visual that can be filtered by both sales month and ship month independently.

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], "M YY")
C . FORMAT(‘Date'[date_id], "MMM") & "" & FORMAT(‘Date'[year], "#")
D . FORMAT(‘Date’ [date_id], "MMM YYYY")

View Answer

Answer: D

Explanation:

Scenario: In the Date table, the date_id column has a format of yyyymmdd. Users must be able to see the month in reports as shown in the following example: Feb 2020.