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PL-300 Microsoft Power BI data analyst questions with complete solutions

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PL-300 Microsoft Power BI data analyst questions with complete solutions

Institution
Microsoft Power BI Data Analyst
Course
Microsoft Power BI Data Analyst

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What does the AI splits feature do?


-AI splits work by considering all available fields and determining which one to drill into and will
only return the highest or lowest value within your dataset.


-AI splits work by considering all available fields and determining which one to drill into to get the
highest/lowest value of the measure that is being analyzed.


-AI splits only display the difference between highest and lowest value of the measure that is
being analyzed.

, AI splits work by considering all available fields and determining which one to drill into
to get the highest/lowest value of the measure that is being analyzed.

- AI splits work by considering all available fields and determining which one to drill
into to get the highest/lowest value of the measure that is being analyzed.




How can you analyze performance of each of your report elements?


-By analyzing your metadata


-By using performance analyzer


-By deleting unnecessary rows and columns to reduce your dataset size




By using performance analyzer

-Use performance analyzer to analyze each of your report elements.

,How is the Admin workspace role different from other types of workspace roles?


-Admin is the only role that can remove users.


-Admin is the only role that can publish or update apps.


-Admin is the only role that can create, edit, or delete content in a workspace.


-Admin is the only role that can publish content to a workspace.




Admin is the only role that can remove users.


-Only Admins can add and remove users from a workspace.




Which of the following selections are not best practices for naming conventions in Power BI?


-Rename columns to have spaces in them.


-Abbreviate column names.


-Replace values that have integers with human readable results.

, Abbreviate column names.

-Abbreviations lead to confusion because they are often overused or not universally
agreed on.




What is the difference between a fact table and a dimension table?


-Fact tables contain observational data while dimension tables contain information about specific
entities within the data.


-Fact tables contain information about specific entities while dimension tables contain information
about observational data.


-There is no difference.


-Dimension tables tell you about specific roles in Power BI while fact tables tell you information
about facts that are associated with those roles in Power BI.

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Microsoft Power BI Data Analyst
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Microsoft Power BI Data Analyst

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