What causes Fabric Pipeline Error 4112?

A required property in the AzureML Service connection is missing or left blank. A connection property value is in the wrong format (e.g., incorrect URL, malformed resource ID). The AzureML connection definition was partially updated and left in an inconsistent state. Copy-paste errors when manually entering connection property values

How do I fix Fabric Pipeline Error 4112?

Step 1: Identify the specific property named in the error message ('%propertyName;') and navigate to the AzureML Service connection in your Fabric Data Factory.. Step 2: Verify the flagged property is defined and not empty — check for typos, extra whitespace, or incorrect formatting.. Step 3: Cross-reference the property value against your Azure Machine Learning workspace settings (e.g., subscription ID, resource group, workspace name).. Step 4: Save the corrected connection and re-run the pipeline to confirm the error is resolved.. Step 5: If the error persists, delete and recreate the AzureML Service connection from scratch using values copied directly from the Azure portal.

High severityconfigurationMicrosoft Fabric →

Power BI Refresh Error:
Fabric Pipeline Error 4112

What does this error mean?

The AzureML Service linked connection contains an invalid or missing value for a specific property. This typically indicates a bad format or undefined property in the connection configuration.

Common causes

1A required property in the AzureML Service connection is missing or left blank
2A connection property value is in the wrong format (e.g., incorrect URL, malformed resource ID)
3The AzureML connection definition was partially updated and left in an inconsistent state
4Copy-paste errors when manually entering connection property values

How to fix it

1Step 1: Identify the specific property named in the error message ('%propertyName;') and navigate to the AzureML Service connection in your Fabric Data Factory.
2Step 2: Verify the flagged property is defined and not empty — check for typos, extra whitespace, or incorrect formatting.
3Step 3: Cross-reference the property value against your Azure Machine Learning workspace settings (e.g., subscription ID, resource group, workspace name).
4Step 4: Save the corrected connection and re-run the pipeline to confirm the error is resolved.
5Step 5: If the error persists, delete and recreate the AzureML Service connection from scratch using values copied directly from the Azure portal.

Frequently asked questions

How do I find which property is invalid when the error message shows '%propertyName;' as a placeholder?

Check the full raw error message in Fabric pipeline run logs — the placeholder is substituted with the actual property name at runtime. Navigate to Monitor > Pipeline Runs, open the failed run, and expand the activity error details.

Can this error occur even if the connection was working previously?

Yes — if an AzureML workspace is moved, renamed, or its subscription changes, the stored connection properties become stale and invalid, triggering this error on the next pipeline run.