Free Microsoft PL-300 Practice Exam with Questions & Answers | Set: 2

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])

Create a shared dataset for each standardized entity.

Create dataflows for the standardized data and make the dataflows available for use in all imported datasets.

For every report, create and use a single shared dataset that contains the standardized data.

For the three entities, create exports of the data from the Power Bl model to Excel and store the data in Microsoft OneDrive for others to use as a source.

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

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

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

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

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.

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

In the Sales table, add a measure for sum(sales_amount).

Change the data type of sales[sales_id] to Text.

Change the data type of sales [region_id] to Decimal Number.

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.

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.

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