Mastering Power BI: Novice to Ninja
Quiz

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Mastering Power BI

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1) What is the purpose of using fuzzy matching techniques in Power BI?

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2) When transforming data in Power Query, what does 'pivoting' a table allow you to do?

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3) Which of the following is NOT a type of column that can be created in Power Query?

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4) In data modeling, what is a 'fact table' primarily used for?

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5) The 'Snowflake schema' in Power BI refers to:

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6) What does the DAX function RELATED() do?

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7) Which feature allows you to analyze year-to-date values in Power BI?

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8) What is the main purpose of conditional formatting in Power BI?

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9) Which of the following is NOT an AI visual in Power BI?

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10) What is the primary purpose of the Performance Analyzer in Power BI?

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11) On what basis is dynamic row-level security (RLS) created?

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12) Workspace apps in Power BI are intended for:

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13) When working with parameters and functions, what is the primary use of parameters?

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14) What does setting a similarity threshold affect in fuzzy matching?

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15) How does the CALCULATE() function in DAX modify filter context?

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16) What advantage does the SUMX() function provide over the SUM() function in DAX?

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17) Which of the following is a use case for data profiling in Power BI?

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18) What capability does creating a calculated table in Power BI provide?

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19) When building a calendar table in Power BI, what is its primary purpose?

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20) What is the significance of using the USERELATIONSHIP() function in DAX?

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