Hi Zhang, this has got to be the problem. Can you first remove the failed compute in your Machine Learning Service Workspace (this is done by detaching it). Can you then check that in file project/services/10_prepEnvModelCreation.py the variable databricks_name is equal to your databricks service (in your case EQ_DB_WS). Can you then rerun the pipeline? Let me know.



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Data Solution Architect @ Microsoft, working with Azure services as ADFv2, ADLSgen2, Azure DevOps, Databricks, Function Apps and SQL. Opinions here are mine.

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