How can you monitor and troubleshoot data pipelines in Fabric?

• A. Use run logs, metrics, alerts, and dashboards to monitor pipeline status, failures, data quality, and performance; diagnose via detailed task logs and lineage.
• B. Monitor only the final output.
• C. Use external tools exclusively, Fabric provides no built-in monitoring.
• D. There is no way to troubleshoot pipelines.

Answer: (A)

Monitoring and troubleshooting data pipelines in Fabric relies on built-in observability features that give you end-to-end visibility. You can use run logs to see the lifecycle of each pipeline run, including status, start and end times, and any error messages. Metrics provide quantitative insights like throughput, latency, and failure rates, while alerts notify you when something crosses a threshold or a run fails. Dashboards offer a at-a-glance view of overall health and recent activity, so you can spot trends quickly.

For diagnosing issues, detailed task logs let you inspect what happened at each step of a pipeline, narrowing down where a failure or performance problem occurred. Lineage shows how data moves through the system, helping you trace data from source to destination and understand the impact of changes or data quality problems. Together, run logs, metrics, alerts, dashboards, task logs, and lineage give you the full picture needed to quickly identify, understand, and fix issues.

Focusing only on the final output misses where things went wrong and leaves data quality or intermediate failures hidden. Relying exclusively on external tools ignores Fabric’s built-in monitoring capabilities and can make triage slower. There is indeed a comprehensive way to monitor and troubleshoot pipelines.