Microsoft Fabric Data Engineer Associate DP-700 Practice Question

A Fabric Eventstream ingests JSON telemetry from Azure Event Hubs and writes the data to a Delta table in a Lakehouse. After a device firmware update, the incoming payload now contains an additional field named "pressure". In the Eventstream monitoring pane you notice that events are being dropped with a "column count mismatch" error on the Lakehouse output. You must allow the new field to be stored without losing events or recreating the table. Which action should you take?

  • Enable the Auto create table option on the Lakehouse output so the table is regenerated with the new column.

  • Run a Spark SQL ALTER TABLE command in the Lakehouse to add a "pressure" column with the appropriate data type.

  • Modify the Eventstream transformation to exclude the "pressure" field from the SELECT statement.

  • Increase the Lakehouse output batch interval to give the service more time to process larger events.

Microsoft Fabric Data Engineer Associate DP-700
Monitor and optimize an analytics solution
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