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NEW QUESTION 24
You are using the key influencers visual to identify which factors affect the quantity of items sold in an order.
You add the following fields to the Explain By field:
* Customer Country
* Product Category
* Supplier Country
* Sales Employee
* Supplier Name
* Product Name
* Customer City
The key influencers visual returns the results shown in the following exhibit.

What can you identify from the visual?

A. Customers in Boise order 20.37 percent more than the average order quantity.B. Customers in Austria order 18.8 more units than the average order quantity.C. Customers in Cork order lower quantities than average.D. Product Category positively influences the quantity per order.

Answer: B

 

NEW QUESTION 25
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 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]B. 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]C. a one-to-many relationship from Date[date_id] to Sales[sales_date_id] and another one-to-many relationship from Date[date_id] to Sales[sales_ship_date_id]D. a one-to-many relationship from Date[date_id] to Sales[sales_date_id] and another one-to-many relationship from Date[date_id] to Weekly_Returns[week_id]E. 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 Date[date_id]

Answer: B

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-relationships-understand
Topic 1, Litware, Inc.
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.

 

NEW QUESTION 26
You have a Power BI model that has the following tables:
* Product (Product_id, Product_Name)
* Sales (Order_id, Order_Date, Product_id, Salesperson_id, Sales_Amount)
* Salesperson (Salesperson_id, Salesperson_name, address)
You plan to create the following measure.
Measure1 = DISTINCTCOUNT(Sales[ProductID])
You need to create the following relationships:
* Sales to Product
* Sales to Salesperson
The solution must ensure that you can use Measure1 to display the count of products sold by each salesperson.
How should you configure the relationships? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:
Explanation
Graphical user interface, text Description automatically generated

 

NEW QUESTION 27
You need to design the data model to meet the report requirements.
What should you do in Power BI Desktop?

A. From Power Bl Desktop, use the Auto date/time option when creating the reports.B. 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.C. From Power Query, add columns to the Orders table to calculate the calendar quarter and the calendar month of the OrderDate column.D. 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.

Answer: C

Explanation:
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.

 

NEW QUESTION 28
Note: This question is a part of a series of questions that present the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You have a Microsoft SQL Server database that has the tables shown in the Database Diagram exhibit. (Click the Exhibit.)

You plan to develop a Power BI model as shown in the Power BI Model exhibit. (Click the Exhibit).

You plan to use Power BI to import data from 2013 to 2015.
Product Subcategory [Subcategory] contains NULL values.
End of repeated scenario.
You implement the Power BI model.
You need to edit the Product Category table query to match the desired Power BI model.
How should you complete the advanced query? 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 frag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://msdn.microsoft.com/en-us/library/mt260776.aspx
https://msdn.microsoft.com/en-us/library/mt260808.aspx

 

NEW QUESTION 29
......


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