Ultimate Power Bi Data Transformation/Cleansing Guide
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10 questions
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- Q11. In Power Query, what method should you use to combine data from two tables while ensuring that rows from the first table without matching entries in the second are retained?Left outer joinRight outer joinInner joinFull outer join40s
- Q22. When splitting columns based on delimiters, which option allows you to separate a column containing "first.last" into "first" and "last" in Power BI?Merge queriesSplit by delimiterReplace valuesRemove duplicates40s
- Q33. While cleaning data, how do you ensure that only distinct rows remain after transformations in Power Query?Split columnsRemove errorsRemove duplicatesGroup by40s
- Q44. How do you handle missing values in a dataset if you need to replace them with a default value in Power Query?Remove nullsFill upReplace valuesFill down40s
- Q55. What transformation would you use to format a column with mixed case text to ensure consistency by converting everything to lowercase?Format -> Text as lowercaseData type conversionTransform -> LowercaseColumn profiling40s
- Q66. If you have a date column with inconsistent formats, how can you standardize it to the "yyyy-mm-dd" format using Power Query?Change data type to DateSplit by delimiterUse Text to ColumnsRemove duplicates40s
- Q77. In Power Query, how do you combine two columns into a single column without losing any data?Replace valuesMerge columnsAppend columnsConcatenate values40s
- Q88. If you need to remove all non-numeric characters from a column containing mixed data types, which transformation should you apply in Power Query?Transform -> Extract -> NumbersGroup byRemove errorsSplit by delimiter40s
- Q99. To create a new calculated column that adds 10% to a numeric column, which function in Power Query should you use?Group by and sumCustom column formula: [Column] * 1.1Append queries and filterMerge queries and calculate40s
- Q1010. When merging tables, how can you avoid duplicating rows and ensure that only one unique match per row is included from both tables?Apply fuzzy matchingUse a unique identifier key in both tablesFilter out nulls before mergingSplit columns before merging40s