How can you best check how long each individual activity took to complete in a previously run pipeline?

• A. Rerun the pipeline and observe the output, timing each activity.
• B. View the run details in the run history.
• C. View the Refreshed value for your lakehouse's default dataset
• D. Check the Data Factory metrics in the portal

Answer: (B)

To see how long each activity took in a previously executed pipeline, check the pipeline’s run history and open a past run. The run details show the start and end times for every activity and provide the duration for each one. This lets you see exactly how long each step took in that specific run and spot any bottlenecks. In Fabric/Data Factory, you can navigate to the monitor or pipeline runs, pick a past run, and drill into each activity to view its timing.

Rerunning would create a new run with new timings, so it doesn’t reveal past activity durations. The lakehouse dataset refresh is unrelated to execution timing, and portal metrics typically give overall or aggregated numbers rather than per-activity timings for a specific past run.