PL-300 Exam Questions and Answers | Exam-Dumps (Page: 2)

QUESTION: 6

DRAG DROP (Drag and Drop is not supported)
In Power Query Editor, you have three queries named ProductCategory, ProductSubCategory, and Product.
Every Product has a ProductSubCategory.
Not every ProductsubCategory has a parent ProductCategory.
You need to merge the three queries into a single query. The solution must ensure the best performance in Power Query.
How should you merge the tables? To answer, drag the appropriate merge types to the correct queries. Each merge type 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.
Select and Place:

See Explanation section for answer.

Answer(s): A

Explanation:

Box 1: Inner
Every Product has a ProductSubCategory.
A standard join is needed.
One of the join kinds available in the Merge dialog box in Power Query is an inner join, which brings in only matching rows from both the left and right tables.
Box 2: Left outer
Not every ProductsubCategory has a parent ProductCategory.
One of the join kinds available in the Merge dialog box in Power Query is a left outer join, which keeps all the rows from the left table and brings in any matching rows from the right table.

Reference:

https://docs.microsoft.com/en-us/power-query/merge-queries-inner https://docs.microsoft.com/en-us/power-query/merge-queries-left-outer

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QUESTION: 7

You are building a Power BI report that uses data from an Azure SQL database named erp1.
You import the following tables.
You need to perform the following analyses:
-Orders sold over time that include a measure of the total order value
Orders by attributes of products sold
The solution must minimize update times when interacting with visuals in the report.
What should you do first?

From Power Query, merge the Order Line Items query and the Products query.
Create a calculated column that adds a list of product categories to the Orders table by using a DAX function.
Calculate the count of orders per product by using a DAX function.
From Power Query, merge the Orders query and the Order Line Items query.

Answer(s): D

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QUESTION: 8

You have a Microsoft SharePoint Online site that contains several document libraries.
One of the document libraries contains manufacturing reports saved as Microsoft Excel files. All the manufacturing reports have the same data structure.
You need to use Power BI Desktop to load only the manufacturing reports to a table for analysis.
What should you do?

Get data from a SharePoint folder and enter the site URL Select Transform, then filter by the folder path to the manufacturing reports library.
Get data from a SharePoint list and enter the site URL. Select Combine & Transform, then filter by the folder path to the manufacturing reports library.
Get data from a SharePoint folder, enter the site URL, and then select Combine & Load.
Get data from a SharePoint list, enter the site URL, and then select Combine & Load.

Answer(s): A

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QUESTION: 9

DRAG DROP (Drag and Drop is not supported)
You have a Microsoft Excel workbook that contains two sheets named Sheet1 and Sheet2.
Sheet1 contains the following table named Table1.
Sheet2 contains the following table named Table2.
You need to use Power Query Editor to combine the products from Table1 and Table2 into the following table that has one column containing no duplicate values.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:

See Explanation section for answer.

Answer(s): A

Explanation:

Reference:

https://docs.microsoft.com/en-us/power-bi/connect-data/desktop-shape-and-combine-data

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QUESTION: 10

You have a CSV file that contains user complaints. The file contains a column named Logged. Logged contains the date and time each complaint occurred. The data in Logged is in the following format: 2018-12-31 at 08:59.
You need to be able to analyze the complaints by the logged date and use a built-in date hierarchy.
What should you do?

Apply a transformation to extract the last 11 characters of the Logged column and set the data type of the new column to Date.
Change the data type of the Logged column to Date.
Split the Logged column by using at as the delimiter.
Apply a transformation to extract the first 11 characters of the Logged column.

Answer(s): C

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Microsoft PL-300 Exam (page: 2) Microsoft Power BI Data Analyst Updated on: 25-Dec-2025

QUESTION: 6

Explanation:

Reference:

QUESTION: 7

QUESTION: 8

QUESTION: 9

Explanation:

Reference:

QUESTION: 10

Microsoft PL-300 Exam (page: 2)
Microsoft Power BI Data Analyst
Updated on: 25-Dec-2025