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PL-300 Practice Questions

Microsoft Power BI Data Analyst

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Total Questions : 464

Dive into our fully updated and stable PL-300 practice test platform, featuring all the latest Microsoft Certified: Power BI Data Analyst Associate exam questions added this week. Our preparation tool is more than just a Microsoft study aid; it's a strategic advantage.

Our free Microsoft Certified: Power BI Data Analyst Associate practice questions crafted to reflect the domains and difficulty of the actual exam. The detailed rationales explain the 'why' behind each answer, reinforcing key concepts about PL-300. Use this test to pinpoint which areas you need to focus your study on.

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Question # 61

You merge data from Sales.Region, Region_Manager, Sales_Manager, and Manager into a single table named Region. What should you do next to meet the reporting requirements of the executives?

Options:

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.

Discussion 0

Question # 62

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

Options:

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

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

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

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

Discussion 0

Question # 63

You need to create the required relationship for the executive's visual. What should you do before you can create the relationship?

Options:

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.

Discussion 0

Question # 64

You need to address the data concerns before creating the data model. What should you do in Power Query Editor?

Options:

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.

Discussion 0

Question # 65

You need to provide a solution to provide the sales managers with the required access.

What should you include in the solution?

Options:

Create a security role that has a table filter on the Sales_Manager table whereusername = UserName()

Create a security role that has a table filter on the Region_Manager table wheresales_manager_id = UserPrincipalName().

Create a security role that has a table filter on the Sales_Manager table wherename = UserName().

Create a security role that has a table filter on the Sales_Manager table whereusername = sales_manager_id.

Discussion 0

Question # 66

You need to create a visualization to meet the reporting requirements of the sales managers.

How should you create the visualization? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question # 66

Options:

Discussion 0

Question # 67

You need to create relationships to meet the reporting requirements of the customer service department.

What should you create?

Options:

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]

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]

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-manyrelationship 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]

Discussion 0

Question # 68

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.

Question # 68

Options:

Discussion 0

Question # 69

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?

Options:

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.

Discussion 0

Question # 70

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have a Power BI model that contains two tables named Sales and Date. Sales contains four columns named TotalCost, DueDate, ShipDate, and OrderDate. Date contains one column named Date.

The tables have the following relationships:

Sales[DueDate] and Date[Date]

Sales[ShipDate] and Date[Date]

Sales[OrderDate] and Date[Date]

The active relationship is on Sales[DueDate].

You need to create measures to count the number of orders by [ShipDate] and the orders by [OrderDate]. You must meet the goal without duplicating data or loading additional data.

Solution: You create measures that use the CALCULATE, COUNT, and USERELATIONSHIP DAX functions.

Does this meet the goal?

Options:

Yes

Discussion 0

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