Watching an ingestion job's health and progress
Monitoring data ingestion in Microsoft Fabric involves tracking pipeline runs, dataflow refreshes, and streaming ingestion through built-in monitoring tools to ensure data arrives reliably and on schedule. Fabric provides centralized visibility into ingestion activities via the Monitoring Hub and item-specific run history, enabling engineers to detect failures, latency, and performance bottlenecks early.
1 · Learn the must-know
- The Monitoring Hub in Fabric provides a unified view across all workspaces showing status, start/end times, and duration for pipeline runs, dataflow refreshes, and other item activities the user has access to.
- Each Data Factory pipeline in Fabric has a Run history view showing individual activity-level status, inputs/outputs, and error messages, which is essential for diagnosing failed ingestion runs.
- Fabric pipelines support setting up alerts and notifications (via Activator or Data Activator integration) that trigger on specific conditions, such as pipeline failure or duration thresholds, allowing proactive monitoring rather than manual checking.
- For Eventstream and real-time ingestion, Fabric provides a visual monitoring canvas showing data flow, throughput, and connection health between sources, transformations, and destinations.
- Pipeline run and activity metadata can be queried programmatically via REST APIs, enabling custom monitoring dashboards or integration with external alerting systems beyond the native UI.
- A common gotcha is that Monitoring Hub only shows items the signed-in user has permission to view, so workspace admins may need broader role assignments to get full visibility into ingestion across teams.
- Dataflow Gen2 refresh history shows detailed step-by-step execution and duration per query/table, which helps pinpoint which specific data source or transformation is slowing down or failing during ingestion.
2 · Check your understanding
A data engineer at a retail company uses a Data Factory pipeline in Microsoft Fabric to run a Copy activity that ingests sales transactions into a lakehouse every night. The engineer has access to several workspaces and wants a single, consolidated view that shows the recent status, start time, and duration of pipeline runs across all of those workspaces, without opening each pipeline individually. Which feature should the engineer use?
What you have tried across DP-700's objectives, not a readiness score.
Implement and manage an analytics solution30-35% of the exam0 of 18 tried
Ingest and transform data30-35% of the exam0 of 19 tried
Monitor and optimize an analytics solution30-35% of the exam0 of 17 tried
3 · Keep going
Ready for more? Take a weighted mock or try free practice questions.