Power BI - Power Query EditorWhy might merging columns in Power BI cause data quality issues if not done carefully?ABecause merging splits columns instead of combiningBBecause merging always deletes original columnsCBecause merging changes data types automaticallyDBecause merging can create ambiguous combined values if delimiters are missingCheck Answer
Step-by-Step SolutionSolution:Step 1: Understand merging risksMerging without delimiters can join values confusingly, causing ambiguity.Step 2: Check other optionsMerging does not delete columns automatically, does not change data types, and does not split columns.Final Answer:Because merging can create ambiguous combined values if delimiters are missing -> Option DQuick Check:Merging without delimiters risks data quality [OK]Quick Trick: Always use delimiters when merging columns [OK]Common Mistakes:Thinking merging deletes columnsAssuming data types changeConfusing merging with splitting
Master "Power Query Editor" in Power BI9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepSheetTryChallengeScenarioRecallDash
More Power BI Quizzes Basic Visualizations - Pie and donut charts - Quiz 10hard Basic Visualizations - Why choosing the right visual matters - Quiz 15hard Data Cleaning with Power Query - Transpose operations - Quiz 14medium Formatting and Design - Color themes - Quiz 7medium Formatting and Design - Color themes - Quiz 6medium Formatting and Design - Visual formatting options - Quiz 14medium Getting Data - Why connecting to data sources is the first step - Quiz 1easy Getting Data - SharePoint and OneDrive sources - Quiz 3easy Power BI Basics and Architecture - Why Power BI is essential for business intelligence - Quiz 14medium Power Query Editor - Replace values - Quiz 5medium