Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You have a Dataflow Gen2 that loads customer transactions from several CSV files into a lakehouse table each hour. Operations asks for an easy way to check, for each run, how many rows were inserted, updated, or deleted and how long the transformation took. You must provide this information with the least administrative effort and without adding custom logging steps. Which Microsoft Fabric capability should you recommend?
Install the Fabric capacity metrics app in Power BI and examine refresh traces.
Publish a workspace usage metrics report and filter on the dataflow.
Open the lakehouse activity pane and inspect recent write operations.
Use the Monitoring hub and review the Dataflow Gen2 run details.
The Monitoring hub in Microsoft Fabric automatically captures detailed run-level metrics for every Dataflow Gen2 execution. From the hub you can open the Dataflow run details page, which shows duration, the number of rows inserted, updated, and deleted, as well as any errors. Lakehouse activity panes and workspace usage metrics show high-level operations but do not expose row-level counts for dataflows. The Fabric capacity metrics app focuses on capacity health and does not surface per-run ingestion statistics.
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Microsoft Fabric Data Engineer Associate DP-700
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