Azure AutoML and Blob Access Issue

Question

Just created an student account, trying to follow https://learn.microsoft.com/en-us/azure/machine-learning/tutorial-first-experiment-automated-ml to create a demo, but unable to process after creating a folder and uploading the example csv file.

The See error details says, ScriptExecution.StreamAccess.NotFound PropertiesStack traceError: Request failed with status code 400 at mW (https://ml.azure.com/assets/index-33ac7a31.js:278:13702) at gW (https://ml.azure.com/assets/index-33ac7a31.js:278:13890) at XMLHttpRequest.C (https://ml.azure.com/assets/index-33ac7a31.js:279:1672) Client request ID09804757-00a7-45c2-a41d-c04653c7b82b Trace ID9250a524-be8b-4f7e-a2e5-5f15a86067d6 I am also unable to create a ticket to Azure for assistance, the upgrade to Developer plan isn't working as well.

Answer 1

Hi @Chacha20

Thank you for your question.

The error message you received suggests that the system was unable to validate or inspect the data/schema of the dataset you were trying to access using a MLTable file in Azure Machine Learning.

To proceed with creating the dataset, it's recommended to click the "Skip data validation" button and continue with the next steps. This will allow you to bypass the validation steps and proceed directly to creating the dataset without the system attempting to validate the data.

I was able to reproduce the issue and successfully create the dataset by skipping the data validation step.

Please find a snapshot of the successful "Data asset" creation below.

Hope this helps.

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