Microsoft Fabric Data Engineer Associate DP-700 Practice Question
A Fabric dataflow that combines multiple CSV files in OneLake fails to refresh and returns the error "Expression.Error: The column 'TransactionDate' of the table wasn't found." In Power Query Online you confirm the Source step lists TransactionDate, but the automatically generated Replace Errors step is hard-coded to the original three-column layout. Several newer CSV files now include an extra column at the start of each row. To ensure future refreshes succeed without manual edits, what should you do?
Reschedule the dataflow to refresh during off-peak hours to reduce contention.
Enable incremental refresh on the dataflow and filter by TransactionDate.
Convert the TransactionDate column's data type from Date/Time to Date in the Changed Type step.
Delete the existing Replace Errors step and add a new one that uses dynamic column names, or remove it if it is not required.
The Replace Errors step was created when the combine-files logic first ran and explicitly lists each original column in order. Because some incoming files now contain an additional leading column, the hard-coded positions no longer match and the step cannot find TransactionDate, triggering the Expression.Error. Deleting the existing Replace Errors step and either recreating it with dynamic column references or omitting it altogether forces Power Query to evaluate the current schema each time, preventing future failures. Adjusting data types, changing refresh schedules, or enabling incremental refresh does not address the underlying schema mismatch.
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Why does the extra leading column in new CSV files cause the error in the Fabric dataflow?
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What are dynamic column references in Power Query, and how can they help in this scenario?
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How can you ensure a dataflow is less prone to breaking due to schema changes in the source files?
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Microsoft Fabric Data Engineer Associate DP-700
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