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NEW QUESTION 42
You have sales data in a star schema that contains four tables named Sales, Customer, Date, and Product.
The Sales table contains purchase and ship dates.
Most often, you will use the purchase date to analyze the data, but you will analyze the data by both dates independently and together.
You need to design an imported dataset to support the analysis. The solution must minimize the model size and the number of queries against the data source.
Which data modeling design should you use?

  • A. On the Date table, use a reference query in Power Query and create active relationships between Sales and both Date tables in the modeling view.
  • B. Create an active relationship between Sales and Date for the purchase date and an inactive relationship for the ship date.
  • C. Use the Auto Date/Time functionality in Microsoft Power BI and do NOT import the Date table.
  • D. Duplicate the Date query in Power Query and use active relationships between both Date tables.

Answer: B

Explanation:
Explanation
Only one relationship can be active.
Note: If you query two or more tables at the same time, when the data is loaded, Power BI Desktop attempts to find and create relationships for you. The relationship options Cardinality, Cross filter direction, and Make this relationship active are automatically set.
Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-create-and-manage-relationships

 

NEW QUESTION 43
You have a Microsoft Power Bl workspace.
You need to grant the user capabilities shown in the following table.
DA-100-14c2ca7c1bc8188c533b175f98201706.jpg
The solution must use the principle of least privilege.
Which user role should you assign to each user? To answer, drag the appropriate roles to the correct users. Each role 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.
DA-100-1ec0380d8b1a0cf8b79ec3f7d16a045b.jpg

Answer:

Explanation:
DA-100-9be6fb173272c53f3002d80b6ed5952c.jpg
Explanation:
https://docs.microsoft.com/en-us/power-bi/collaborate-share/service-new-workspaces

 

NEW QUESTION 44
You have two tables named Customers and Invoice in a Power BI model. The Customers table contains the following fields:
CustomerID
Customer City
Customer State
Customer Name
Customer Address 1
Customer Address 2
Customer Postal Code
The Invoice table contains the following fields:
Order ID
Invoice ID
Invoice Date
Customer ID
Total Amount
Total Item Count
The Customers table is related to the Invoice table through the Customer ID columns. A customer can have many invoices within one month.
The Power BI model must provide the following information:
The number of customers invoiced in each state last month
The average invoice amount per customer in each postal code
You need to define the relationship from the Customers table to the Invoice table. The solution must optimize query performance.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
DA-100-d6143473c03418c3888ed7e8c5f2c7cb.jpg

Answer:

Explanation:
DA-100-bbc17a56c5c552d632d4efae22dcdd84.jpg
Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-relationships-understand

 

NEW QUESTION 45
......

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