PL-300 Question #327: Real Exam Question with Answer & Explanation

Question

Case Study 1 - Litware, Inc. Overview Litware, Inc. is an online retailer that uses Microsoft Power Bl 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 dateid column has a format of yyyymmdd and the month column has a format of yyyymm. The week column in the Date table and the weekid column in the Weekly_Returns table have a format of yyyyww. The regionid column can be managed by only one sales manager. 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. - Regional 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. - The maximum allowed latency to include transactions in reports is five minutes. What should you do to address the existing environment data concerns?

Options

• Aa calculated column that uses the following formula: ABS(Sales[sales_amount])
• Ba measure that uses the following formula: SUMX(FILTER('Sales', 'Sales'[sales_amount] >
• Ca measure that uses the following formula: SUM(Sales[sales_amount])
• Da calculated column that uses the following formula: IF(ISBLANK(Sales[sales_amount]),0,