Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You manage a Fabric Eventstream that ingests JSON telemetry from Azure IoT Hub and routes the data to an Eventhouse table. After a recent device firmware update, the Eventstream Monitoring dashboard shows a rapid increase in the "Failed to write events" metric for the Eventhouse output, while the "Input events" metric remains steady. Which action should you take first to identify the root cause of the failures?
Delete and recreate the Eventhouse output with the "Auto create table" option enabled.
Stop and restart the Eventstream to clear transient write errors.
Examine the rejected events in the Eventhouse destination's error store (dead-letter folder).
Refresh the Eventstream input schema to force automatic column mapping.
A sudden rise in the "Failed to write events" metric while input volume is unchanged indicates that events reach the Eventstream but are rejected when written to the Eventhouse table. The Eventstream automatically stores such rejected events in the error store (dead-letter folder) of the Eventhouse destination. Inspecting the error store lets you examine sample payloads and error details-such as schema mapping or data-type mismatches-so you can determine why the write operation fails. Refreshing the Eventstream schema, restarting the Eventstream, or recreating the output does not provide the necessary diagnostic information before you understand the rejection reason.
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What is an Eventhouse table in Microsoft Fabric?
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Microsoft Fabric Data Engineer Associate DP-700
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