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.
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.Create a new table based on the Date table where date-id is unique, and then create a many-to- many relationship to Weekly_Return.
• C.Add the Weekly_Returns data to the Sales table by using related DAX functions.

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Which DAX expression should you use to get the ending balances in the balance sheet reports?

• A.CALCULATE (
  SUM( BalanceSheet [BalanceAmount] ),
  DATESQTD( 'Date'[Date] )
  )
• B.CALCULATE (
  SUM( BalanceSheet [BalanceAmount] ),
  LASTDATE( 'Date'[Date] )
  )
• C.FIRSTNONBLANK ( 'Date' [Date]
  SUM( BalanceSheet[BalanceAmount] )
  )
• D.CALCULATE (
  MAX( BalanceSheet[BalanceAmount] ),
  LASTDATE( 'Date' [Date] )
  )
  Scenario: At least one of the balance sheet reports in the quarterly reporting package must show the ending balances for the quarter, as well as for the previous quarter.
  DATESQTD returns a table that contains a column of the dates for the quarter to date, in the current context.

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You need to create a custom visualization for Power BI.
What should you install first?

• A.jQuery
• B.Node.js
• C.Microsoft Azure PowerShell
• D.Microsoft.NET

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You have an Azure SQL database that contains sales transactions. The database is updated frequently.
You need to generate reports from the data to detect fraudulent transactions. The data must be visible within five minutes of an update.
How should you configure the data connection?

• A.Add a SQL statement.
• B.Set Data Connectivity mode to DirectQuery.
• C.Set the Command timeout in minutes setting.
• D.Set Data Connectivity mode to Import.

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You need to create a DAX measure in the data model that only allows users to see projections at the appropriate levels of granularity.
How should you complete the measure? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation

Scenario: Revenue projections are set at the monthly level and summed to show projections for the quarter.
Box 1: IF
Box 2: ISFILTERED
ISFILTERED returns TRUE when columnName is being filtered directly. If there is no filter on the column or if the filtering happens because a different column in the same table or in a related table is being filtered then the function returns FALSE.
Box 3: SUM
Reference:
https://docs.microsoft.com/en-us/dax/isfiltered-function-dax

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