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Microsoft PL-300 Exam is designed to test a candidate's knowledge and skills in using Power BI to create data models, reports, and dashboards. PL-300 exam covers various topics such as data preparation, data modeling, data visualization, and data analysis. It also tests a candidate's ability to connect to various data sources, import data, and transform data using Power Query.

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Microsoft Power BI Data Analyst Sample Questions (Q36-Q41):

NEW QUESTION # 36
How should you distribute the reports to the board? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:
Explanation

Box 1: Using a workspace membership
Scenario:
The company wants to provide a single package of reports to the board that contains custom navigation and links to supplementary information.
Note: Workspace is a shared environment for a group of people. You can have multiple Power BI content in a workspace. One workspace can have hundreds of dashboards, reports, and datasets in it.
Box 2: A mail-enabled security group
Scenario: Security Requirements
The reports must be made available to the board from powerbi.com. A mail-enabled security group will be used to share information with the board.

NEW QUESTION # 37
What should you create to meet the reporting requirements of the sales department?

A. Option B
B. option C
C. Option D
D. Option A

Answer: B

NEW QUESTION # 38
You have a dataset that is used infrequently and refreshes every hour.
You receive a notification that the refresh was disabled due to inactivity.
Which two actions will cause the scheduled refresh schedule to resume? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. From the Power BI service, open a dashboard that uses the dataset.
B. From PowerShell, run the get-powerbireport cmdlet.
C. Import the dataset to Microsoft Excel.
D. Enable query caching for the dataset.
E. From the Power BI service, open a report that uses the dataset.

Answer: A,E

Explanation:
After two months of inactivity, scheduled refresh on your dataset is paused. A dataset is considered inactive when no user has visited any dashboard or report built on the dataset. At that time, the dataset owner is sent an email indicating the scheduled refresh is paused. The refresh schedule for the dataset is then displayed as disabled. To resume scheduled refresh, simply revisit any dashboard or report built on the dataset. https://learn.
microsoft.com/en-us/power-bi/connect-data/refresh-scheduled-refresh#scheduled-refresh

NEW 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.
You have a Power BI report that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys:
- Due Date
- Order Date
- Delivery Date
You need to support the analysis of sales over time based on all the date foreign keys.
Solution: From the Fields pane, you rename the date table as Due Date. You use a DAX expression to create Order Date and Delivery Date as calculated tables. You create active relationships between the sales table and each date table.
Does this meet the goal?

A. No
B. Yes

Answer: B

NEW QUESTION # 40
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?

A. Yes
B. No

Answer: B

NEW QUESTION # 41
......

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