Topic 3, Northwind Traders
Case study
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question.
Overview. General Overview
Northwind Traders is a specialty food import company.
The company recently implemented Power BI to better understand its top customers,
products, and suppliers.
Overview. Business Issues
The sales department relies on the IT department to generate reports in Microsoft SQL
Server Reporting Services (SSRS). The IT department takes too long to generate the
reports and often misunderstands the report requirements.
Existing Environment. Data Sources
Northwind Traders uses the data sources shown in the following table
You need to create a relationship in the dataset for RLS.
What should you do? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
You need to create the Top Customers report.
Which type of filter should you use, and at which level should you apply the filter? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You need to create the On-Time Shipping report. The report must include a visualization that shows the percentage of late orders.
Which type of visualization should you create?
A.
bar chart
B.
scatterplot
C.
pie chart
bar chart
Explanation:
Scenario: The On-Time Shipping report will show the following metrics for a selected
shipping month or quarter:
The percentage of orders that were shipped late by country and shipping region
Customers that had multiple late shipments during the last quarter
Note: Bar and column charts are some of the most widely used visualization charts in
Power BI. They can be used for one or multiple categories. Both these chart types
represent data with rectangular bars, where the size of the bar is proportional to the
magnitude of data values.
The difference between the two is that if the rectangles are stacked horizontally, it is called
a bar chart. If the rectangles are vertically aligned, it is called a column chart.
Reference:
https://www.pluralsight.com/guides/bar-and-column-charts-in-power-bi
You need to create a measure that will return the percentage of late orders.
How should you complete the DAX expression? To answer, select the appropriate options
in the answer area.
NOTE: Each correct selection is worth one point.
You need to configure access for the sales department users. The solution must me meet
the security requirements. What should you do?
A.
Add the sales department as a member of the reports workspace
B.
Add the Azure Active Directory group of the sales department as an Admin of the reports workspace.
C.
Distribute an app to the users in the Azure Active Directory group of the sales
department.
D.
Share each report to the Azure Active Directory group of the sales department
Share each report to the Azure Active Directory group of the sales department
You need to design the data model to meet the report requirements.
What should you do in Power BI Desktop?
A.
From Power Query, use a DAX expression to add columns to the Orders table to calculate the calendar quarter of the OrderDate column, the calendar month of the OrderDate column, the calendar quarter of the ShippedDate column, and the calendar
month of the ShippedDate column.
B.
From Power Query, add columns to the Orders table to calculate the calendar quarter and the calendar month of the OrderDate column.
C.
From Power Bl Desktop, use the Auto date/time option when creating the reports.
D.
From Power Query, add a date table. Create an active relationship to the OrderDate
column in the Orders table and an inactive relationship to the ShippedDate column in the
Orders table.
From Power Query, add columns to the Orders table to calculate the calendar quarter and the calendar month of the OrderDate column.
Explanation:
Use Power Query to calculate calendar quarter and calendar month.
Scenario:
A single dataset must support all three reports:
- The Top Customers report will show the top 20 customers based on the highest sales
amounts in a selected order month or quarter, product category, and sales region.
- The Top Products report will show the top 20 products based on the highest sales
amounts sold in a selected order month or quarter, sales region, and product category.
The data model must minimize the size of the dataset as much as possible, while
meeting the report requirements and the technical requirements.
You need to minimize me size of the dataset. The solution must meet the report
requirements What should you do?
A.
Change lite OrderlD column in the Orders table to the text data type.
B.
Filter out discontinued products while importing the Product table.
C.
Remove the QuantityPerUnit column from the Products table
D.
Group the Categories table by the CategorylD column.
Group the Categories table by the CategorylD column.
You have the line chart shown in the exhibit. (Click the Exhibit tab.)
You have an app workspace that contains a dashboard and four reports. All the reports are generated from a single dataset that contains sales data for your company. The reports display the data configured as shown in the following table.
You need to ensure that the users of the reports can locate the correct report by using
natural language queries.
What should you do?
A.
From the properties of the dataset, create four Featured Q&A Questions.
B.
From the Format settings of the reports, modify the Page Information.
C.
From the properties of the dataset, modify the Q&A and Cortana settings.
D.
From the properties of the workspace, modify the Language Settings.
From the properties of the dataset, modify the Q&A and Cortana settings.
Explanation:
References: https://docs.microsoft.com/en-us/power-bi/service-q-and-a-directquery#
limitations-during-public-preview
You have a report that includes a card visualization.
You need to apply the following conditional formatting to the card while minimizing design
effort.
For values that are greater than or equal to 100, the font of the data label must be dark red.
For values that are less than 100, the font of the data label must be dark gray.
Which type of format should you use?
A.
Color scale
B.
Rules
C.
Field value
Field value
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