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Microsoft PL-300 - Microsoft Power BI Data Analyst

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Total 459 questions

You use Power Query to import two tables named Order Header and Order Details from an Azure SQL database. The Order Header table relates to the Order Details table by using a column named Order ID in each table.

You need to combine the tables into a single query that contains the unique columns of each table.

What should you select in Power Query Editor?

A.

Merge queries

B.

Append queries

C.

Combine files

You need to design the data model and the relationships for the Customer Details worksheet and the Orders table by using Power BI. The solution must meet the report requirements.

For each of the following statement, select Yes if the statement is true, Otherwise, select No.

NOTE: Each correct selection is worth one point.

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.

You need to create a solution to meet the notification requirements of the warehouse shipping department.

What should you do? To answer, select the appropriate options in the answer area.

NOTE: Each correct select is worth one point:

You need to create a calculated column to display the month based on the reporting requirements. Which DAX expression should you use?

A.

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

B.

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

C.

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

D.

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

You need to get data from the Microsoft SQL Server tables. What should you use to configure the connection'

A.

import that uses a Microsoft account

B.

DirectQuery that uses the end-user s credentials

C.

DirectQuery that uses a database credential

D.

Import that uses a database credential

You need to create a relationship between the Weekly_Returns table and the Date table to meet the reporting requirements of the regional managers. What should you do?

A.

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.

B.

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

C.

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.

You publish the semantic model to powerbi.com.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

You publish the dataset to powerbi.com.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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 one-to-many relationship fromSales[sales_date_id] to Date[date_id], and a one-to-many relationship fromSales[sales_ship_date_id] to ShipDate[date_id]

B.

an additional date table named ShipDate, a many-to-many relationship fromSales[sales_date_id] to Date[date_id], and a many-to-many relationship fromSales[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 Weekly_Returns[week_id]

D.

a one-to-many relationship from Sales[sales_date_id] to Date[date_id] and a one-to-manyrelationship from Sales[sales_ship_date_id] to Date[date_id]

E.

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]