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Skills measured

To prepare for the Microsoft PL-300 Exam, candidates should have experience with Power BI Desktop, Power Query, DAX, and data modeling. They should also be familiar with data visualization techniques and have an understanding of business intelligence concepts. Microsoft offers various training resources, including online courses, instructor-led training, and certification exams, to help candidates prepare for the exam.

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The PL-300 Exam is an ideal certification for data analysts, business intelligence professionals, and other data-focused roles within an organization. With the increasing importance of data-driven decision making, the demand for professionals with strong Power BI skills is also on the rise.

Microsoft Power BI Data Analyst Sample Questions (Q143-Q148):

NEW QUESTION # 143
You need to create a DAX measure in the data model that only allows users to see projections at the appropriate levels of granularity.
How should you complete the measure? To answer, drag the appropriate values to the correct targets. Each value 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.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/dax/isfiltered-function-dax


NEW QUESTION # 144
You have a Power BI report.
You need to create a calculated table to return the 100 highest spending customers.
How should you complete the DAX expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: TOPN
TOPN returns the top N rows of the specified table.
Box 2: SUMMARIZE
SUMMARIZE returns a summary table for the requested totals over a set of groups.
Box 3: DESC
Sort in descending order.
It is last in the TOPN command.
TOPN syntax:
TOPN(<n_value>, <table>, <orderBy_expression>, [<order>[, <orderBy_expression>, [<order>]]...]) Reference:
https://docs.microsoft.com/en-us/dax/topn-function-dax
https://docs.microsoft.com/en-us/dax/summarize-function-dax


NEW QUESTION # 145
You need to create a visual as shown in the following exhibit.

The indicator color for Total Sales will be based on % Growth to Last Year.
The solution must use the existing calculations only.
How should you configure the visual? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/power-bi/create-reports/desktop-conditional-table-formatting


NEW QUESTION # 146
Note: This question is a part of a series of questions that present the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You have a Microsoft SQL Server database that has the tables shown in the Database Diagram exhibit. (Click the Exhibit.)

You plan to develop a Power BI model as shown in the Power BI Model exhibit. (Click the Exhibit).

You plan to use Power BI to import data from 2013 to 2015.
Product Subcategory [Subcategory] contains NULL values.
End of repeated scenario.
You implement the Power BI model.
You add another table named Territory to the model. A sample of the data is shown in the following table.

You need to create a relationship between the Territory table and the Sales table.
Which function should you use in the query for Territory before you create the relationship?

Answer: A

Explanation:
References: https://msdn.microsoft.com/en-us/library/mt260775.aspx


NEW QUESTION # 147
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.
From Power Query Editor, you profile the data shown in the following exhibit.

The IoT GUID and IoT ID columns are unique to each row in query.
You need to analyze IoT events by the hour and day of the year. The solution must improve dataset performance.
Solution: You split the loT DateTime column into a column named Date and a column named Time.
Does this meet the goal?

Answer: B


NEW QUESTION # 148
......

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