A pipeline fails on a copy step. Where do you look first?
Why C is the answer
The activity's error output in the run details
Run details show which activity failed, and why.
In detail
- The activity's error output states the failure.
- Start with the error text, not a rerun.
Use case
An illustrative scenario, not a real incident.
A copy step fails. The run details show the failing activity and an error about a changed password.
See it in different ways
flowchart TD
A["Monitor hub"] --> B{"Which item failed?"}
B -->|"Pipeline"| C["Activity error output"]
B -->|"Notebook"| D["Spark logs"]
B -->|"Capacity pressure"| E["Capacity Metrics app"]mindmap
root((Monitoring))
Activities
Monitor hub
Capacity
Capacity Metrics app
Warehouse
Query insights
Spark
Logs
Copy step
Run detailsflowchart LR S0["Open the failed run"] --> S1["Find the activity"] --> S2["Read the error"] --> S3["Fix the cause"]
Key point: Run details show what failed, and why.
Why the other options are wrong
- A. The workspace capacity settings
- That shows compute settings, not the error.
- B. The lakehouse's SQL analytics endpoint
- That endpoint is unrelated to a copy step.
- D. The sensitivity label on the pipeline
- A label has no bearing on the failure.