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High severityfabricMicrosoft Fabric

Microsoft Fabric Error:
Pipeline Error 3200

What does this error mean?

A Fabric Data Factory pipeline activity calling Azure Databricks failed with error 403 because the Databricks personal access token used for authentication has expired. By default, Databricks access tokens expire after 90 days.

Common causes

  • 1The Databricks personal access token stored in the pipeline linked service expired (default lifetime: 90 days)
  • 2The token was manually revoked in the Databricks workspace before the pipeline was updated
  • 3A Databricks workspace admin changed the token expiration policy to a shorter duration

How to fix it

  1. 1Log in to the Azure Databricks workspace and generate a new personal access token (User Settings > Access tokens > Generate new token).
  2. 2Update the token in the Fabric Data Factory linked service for the Databricks connection.

Beyond the docs

Common practitioner solutions not covered in the official documentation.

  1. 1Set a calendar reminder to rotate the token before it expires again, or switch to a service principal with OAuth for token-free authentication
  2. 2Consider setting a longer token expiry (or no expiry for service accounts) if 90 days is too short for your pipeline schedule

Frequently asked questions

Does this error affect Power BI reports in the same workspace?

Depends on the error type. Semantic model failures affect report freshness directly. Dataflow or pipeline failures may cascade into downstream semantic model failures.

How is debugging Fabric errors different from classic Power BI errors?

Fabric errors often require checking capacity utilization alongside the item-level error. The Fabric admin portal shows capacity pressure that Power BI Service doesn't expose.

Can Fabric errors be caused by capacity limits?

Yes — Fabric capacities have concurrent operation limits. An undersized capacity causes failures during peak usage.

Does this error appear in Power BI Desktop?

No — Fabric items are cloud-native. Desktop can connect to Fabric semantic models but cannot trigger or observe Fabric-specific errors.

Source · learn.microsoft.com/en-us/fabric/data-factory/pipeline-troubleshoot-guide

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