You have an Azure data factory named DF1. DF1 contains a pipeline that has five activities. You need to monitor queue times across the activities by using Log Analytics. What should you do in DF1?

Connecting ADF to a Microsoft Purview account enables data lineage tracking and governance cataloging but does not route any activity execution metrics or queue time data to Log Analytics.

Activity Runs diagnostic logs capture per-activity execution detail including queue duration (the time an activity waited before starting) and run duration for each of the five activities in the pipeline. Routing these logs to a Log Analytics workspace lets you write KQL queries to analyze and monitor queue time trends across activities, which satisfies the monitoring requirement precisely.

Enabling auto-refresh on the Activity Logs Insights workbook only controls how frequently the built-in Azure Monitor workbook refreshes its display; it does not stream data into a Log Analytics workspace.

Pipeline Runs diagnostic logs capture pipeline-level start, end, and status information but do not include the per-activity queue duration metrics needed to monitor queue times within the pipeline.