Microsoft Fabric Data Engineer Associate DP-700 Practice Question
A data engineer notices that a Fabric Dataflow Gen2 refresh fails with the following message: "DataFormat.Error: We couldn't convert to Number. Details: Value="N/A" Type=Text". The column that triggers the error is expected to be Decimal, but some new source files occasionally contain the string "N/A" in that field. You must modify the dataflow so that future refreshes succeed even when the issue recurs. What should you do?
Increase the dataflow refresh timeout value in the workspace settings to give the query more time to finish.
Reduce the dataflow's parallelism level in the Refresh settings to prevent concurrency issues during ingestion.
Enable the Allow schema drift option for the dataflow so that unexpected values are ignored during refresh.
Change the column's data type to Text in the Source step, then add a Change Type step that converts the column to Decimal and use Replace Errors to substitute non-numeric values with null.
The refresh fails because Power Query attempts to convert every value in the column to the Decimal type, and the text value "N/A" cannot be cast. The most reliable fix is to let the column arrive as Text in the source step, then explicitly convert it to Decimal in a later step while adding a Replace Errors transformation (for example, replacing errors with null). This ensures that any non-numeric values such as "N/A" are gracefully handled and the refresh completes. Simply enabling schema-drift tolerance does not alter the type conversion logic, so the same error will occur. Adjusting parallelism or timeout settings addresses performance or duration problems, not data-type conversion errors.
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Microsoft Fabric Data Engineer Associate DP-700
Monitor and optimize an analytics solution
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