ERROR: ResourceNotReady can occur when the deployment uses a custom name for the scoring file (not nameing score.py)

[sanjeevisaac]

When the deployment.yml specifies a custom scoring file, we run into this error. It seems that the scoring file MUST be named score.py otherwise we run into this error. The documentation does not specifically mention this, so customers assume that the score.py can have a different name as long as the deployment.yml specifies that custom name, which is not the case.

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Document Details

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• ID: f5eed0f2-33f8-1fb3-c523-2468ec5ef733
• Version Independent ID: 67d15baf-1ce3-70d4-8dae-57e3cebf1ebe
• Content: Troubleshooting online endpoints deployment - Azure Machine Learning
• Content Source: articles/machine-learning/how-to-troubleshoot-online-endpoints.md
• Service: machine-learning
• Sub-service: mlops
• GitHub Login: @dem108
• Microsoft Alias: sehan

[SaibabaBalapur-MSFT]

@sanjeevisaac Thanks for your feedback! We will investigate and update as appropriate.

[RamanathanChinnappan-MSFT]

@sanjeevisaac

I've delegated this to @dem108 , a content author, to review and share their valuable insights.