Pass the Microsoft Certified: Power BI Data Analyst Associate PL-300 Questions and answers with ValidTests

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

username = UserName()

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

sales_manager_id = UserPrincipalName().

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

name = UserName().

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

username = sales_manager_id.

Apply row-level security (RLS) to the Region table based on the sales manager username.

Configure a bi-directional relationship between Region and Sales.Region.

Create a DAX calculated column that retrieves the region manager from the Weekly.Returns table based on the sales.regionjd column.

In the Region table, create a hierarchy that has the manager name, and then the sales manager name.

import that uses a Microsoft account

DirectQuery that uses the end-user s credentials

DirectQuery that uses a database credential

Import that uses a database credential

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]

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]

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]

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]

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]

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

FORMAT('Date' [date], "M YY")

FORMAT('Date'[date_id], "MMM") & "" & FORMAT('Date'[year], "#")

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

Select Column distribution.

Select the sales_amount column and apply a number filter.

Select Column profile, and then select the sales_amount column.

Transform the sales_amount column to replace negative values with 0.

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.

Add the Weekly_Returns data to the Sales table by using related DAX functions.

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

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

a measure that uses a formula of COUNTROWS (Sales)

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