PL-300 Exam Questions

Total 290 Questions

Last Updated Exam : 16-Dec-2024

Topic 1, Litware, Inc. Case Study

   

This is a case study. Case studies are not timed separately. You can use as much exam
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question.
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 visualization to meet the reporting requirements of the sales
managers.
How should you create the visualization? To answer, select the appropriate options in the
answer area.
NOTE: Each correct selection is worth one point.






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-to-many relationship to Weekly_Return.





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.



Explanation:
Scenario: Region managers require a visual to analyze weekly sales and returns.
To relate the two tables we need a common column.

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")





A.
  

FORMAT('Date'[date], "MMM YYYY")



What should you create to meet the reporting requirements of the sales department?


A.

a measure that uses a formula of SUM (Sales [sales_id])


B.

a calculated column that use a formula of COUNTA(sales [sales_id])


C.

a measure that uses a formula of COUNTROWS (Sales)


D.

a calculated column that uses a formula of SUM (Sales [sales_id])





C.
  

a measure that uses a formula of COUNTROWS (Sales)



Explanation:
The sale department requires reports that contain the number of sales transactions.
The COUNTROWS function counts the number of rows in the specified table, or in a table
defined by an expression.
Reference:
https://docs.microsoft.com/en-us/dax/countrows-function-dax

You need to provide a solution to provide the sales managers with the required access. What should you include in the solution?


A.

Create a security role that has a table filter on the Sales_Manager table where
username = UserName()


B.

Create a security role that has a table filter on the Region_Manager table where
sales_manager_id = UserPrincipalName().


C.

Create a security role that has a table filter on the Sales_Manager table where
name = UserName().


D.

Create a security role that has a table filter on the Sales_Manager table where





A.
  

Create a security role that has a table filter on the Sales_Manager table where
username = UserName()



Answer: A
Explanation: https://powerbi.microsoft.com/en-us/blog/using-username-in-dax-with-rowlevel-
security/

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.

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.





A.
  

Change the data type of Sales[region_id] to Whole Number.



Explanation:
Scenario: Executives require a visual that shows sales by region.
Need to change the sales_id column from Varchar to Whole Number (Integer).

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.





C.
  

Select Column profile, and then select the sales_amount column.



You need to create relationships to meet the reporting requirements of the customer
service department.
What should you create?


A.

an additional date table named ShipDate, a one-to-many relationship from
Sales[sales_date_id] to Date[date_id], and a one-to-many relationship from
Sales[sales_ship_date_id] to ShipDate[date_id]


B.

an additional date table named ShipDate, a many-to-many relationship from
Sales[sales_date_id] to Date[date_id], and a many-to-many relationship from
Sales[sales_ship_date_id] to ShipDate[date_id]


C.

a one-to-many relationship from Date[date_id] to Sales[sales_date_id] and another oneto-
many relationship from Date[date_id] to Weekly_Returns[week_id]


D.

a one-to-many relationship from Sales[sales_date_id] to Date[date_id] and a one-tomany
relationship from Sales[sales_ship_date_id] to Date[date_id]


E.

a one-to-many relationship from Date[date_id] to Sales[sales_date_id] and another oneto-
many relationship from Date[date_id] to Sales[sales_ship_date_id]





A.
  

an additional date table named ShipDate, a one-to-many relationship from
Sales[sales_date_id] to Date[date_id], and a one-to-many relationship from
Sales[sales_ship_date_id] to ShipDate[date_id]



Explanation:
Scenario: The customer service department requires a visual that can be filtered by both
sales month and ship month independently.
Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-relationshipsunderstand

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.






You need to grant access to the business unit analysts.
What should you configure? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point