Exams > Microsoft > PL-300: Microsoft Power BI Data Analyst
PL-300: Microsoft Power BI Data Analyst
Page 4 out of 17 pages Questions 31-40 out of 169 questions
Question#31

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 the query.

You need to analyze IoT events by the hour and day of the year. The solution must improve dataset performance.

Solution: You remove the IoT GUID column and retain the IoT ID column.

Does this meet the goal?

  • A. Yes
  • B. No
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Answer: A

Question#32

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 the query.

You need to analyze IoT events by the hour and day of the year. The solution must improve dataset performance.

Solution: You change the IoT DateTime column to the Date data type.

Does this meet the goal?

  • A. Yes
  • B. No
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Answer: B

Question#33

You have a Microsoft Power BI report. The size of PBIX file is 550 MB. The report is accessed by using an App workspace in shared capacity of powerbi.com.

The report uses an imported dataset that contains one fact table. The fact table contains 12 million rows. The dataset is scheduled to refresh twice a day at 08:00 and 17:00.

The report is a single page that contains 15 AppSource visuals and 10 default visuals.

Users say that the report is slow to load the visuals when they access and interact with the report.

You need to recommend a solution to improve the performance of the report.

What should you recommend?

  • A. Change any DAX measures to use iterator functions.
  • B. Remove unused columns from tables in the data model.
  • C. Replace the default visuals with AppSource visuals.
  • D. Increase the number of times that the dataset is refreshed.
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Answer: B

Question#34

DRAG DROP
-

You have a Power BI data model that contains two tables named Products and Sales.

A one-to-many relationship exists between the tables.

You have a report that contains a report-level filter for Products.

You need to create a measure that will return the percent of total sales for each product. The measure must respect the report-level filter when calculating the total.

How should you complete the DAX measure? To answer, drag the appropriate DAX functions to the correct targets. Each function 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.

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Answer:

Question#35

You have a Power BI data model that analyzes product sales over time. The data model contains the following tables.



A one-to-many relationship exists between the tables.

The auto date/time option for the data model is enabled.

You need to reduce the size of the data model while maintaining the ability to analyze product sales by month and quarter.

Which two actions should you perform? Each correct answer presents part of the solution.

NOTE: Each correct answer is worth one point.

  • A. Create a relationship between the Date table and the Sales table.
  • B. Disable the auto date/time option.
  • C. Create a Date table and select Mark as Date Table.
  • D. Disable the load on the Date table.
  • E. Remove the relationship between the Product table and the Sales table.
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Answer: AC

Question#36

You have a Microsoft Power BI report. The size of PBIX file is 550 MB. The report is accessed by using an App workspace in shared capacity of powerbi.com.

The report uses an imported dataset that contains one fact table. The fact table contains 12 million rows. The dataset is scheduled to refresh twice a day at 08:00 and 17:00.

The report is a single page that contains 15 AppSource visuals and 10 default visuals.

Users say that the report is slow to load the visuals when they access and interact with the report.

You need to recommend a solution to improve the performance of the report.

What should you recommend?

  • A. Implement row-level security (RLS).
  • B. Remove unused columns from tables in the data model.
  • C. Replace the default visuals with AppSource visuals.
  • D. Enable visual interactions.
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Answer: B

Question#37

HOTSPOT
-

You have a Power BI data model that contains a table named Stores. The table has the following columns:

• Store Name
• Open Date
• Status
• State
• City

You need to create a calculated column named Active Store Name that meets the following requirements:

• When the value of the Status column is “A”, the value in the Store Name column must be returned.
• When the value of the Status column is NOT “A”, the value in the Store Name column that is prefixed with "Inactive - " must be returned.

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.

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Answer:

Question#38

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?

  • A. Apply a transformation to extract the first 11 characters of the logged column.
  • B. Add a conditional column that outputs 2018 if the Logged column starts with 2018 and set the data type of the new column to Whole Number.
  • C. Create a column by example that starts with 2018-12-31 and set the data type of the new column to Date.
  • D. Apply a transformation to extract the last 11 characters of the Logged column and set the data type of the new column to Date.
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Answer: B

Question#39

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 the query.

You need to analyze IoT events by the hour and day of the year. The solution must improve dataset performance.

Solution: You create a custom column that concatenates the IoT GUID column and the IoT ID column and then delete the IoT GUID and IoT ID columns.

Does this meet the goal?

  • A. Yes
  • B. No
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Answer: B

Question#40

You have a Power BI model that contains a table named Employee. The table contains the following data.



Each employee has one manager as shown in the ParentEmployeeID column.

All reporting paths lead to the CEO at the top of the organizational hierarchy.

You need to create a calculated column that returns the count of levels from each employee to the CEO.

Which DAX expression should you use?

  • A. PATHLENGTH(PATH(Employee[EmployeeID],Employee[ParentEmployeeID]))
  • B. PATHITEM(PATH(Employee[EmployeeID],Employee[ParentEmployeeID]),1,INTEGER)
  • C. PATHCONTAINS(PATH(Employee[EmployeeID],Employee[ParentEmployeeID]),1)
  • D. PATH(Employee[EmployeeID],Employee[ParentEmployeeID])
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Answer: A

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