Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You manage several Dataflows Gen2 in Microsoft Fabric that run nightly to load data into a lakehouse. To detect potential performance bottlenecks, you need to find transformation steps whose execution time is unusually long and review any associated errors-without opening the dataflow in edit mode. Which Fabric capability should you use to accomplish this?
Open the Monitoring hub, filter for Dataflow runs, and inspect the detailed run history.
Export Fabric diagnostic logs to Azure Monitor and analyze them for Dataflow metrics.
Create a Power BI report on the lakehouse system tables to analyze execution metrics.
Open the dataflow in edit mode and enable column profiling in Power Query Online.
The Monitoring hub is a workspace-level feature that aggregates operational information for items such as Dataflows Gen2, pipelines, and notebooks. By opening the Monitoring hub and filtering on Dataflow runs, you can view the refresh history for each dataflow. Selecting a specific run exposes step-level details, including the execution duration of each transformation and any errors that occurred, allowing you to pinpoint slow or failing steps without modifying the dataflow itself. Column profiling only helps during design time, lakehouse system tables do not include step-level execution detail, and Azure Monitor logs require separate configuration and are not necessary for this scenario.
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Microsoft Fabric Data Engineer Associate DP-700
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