Azure Machine Learning resync keys not working - no longer able to access files/submit experiments to ML service

Jim 1 Reputation point

I followed this tutorial: - to update the access keys of my default blob datastore linked to my Machine Learning service. This worked a month ago. After doing it today, every time when submitting an experiment I get the error:
"Job preparation failed: HTTP Error 403: Server failed to authenticate the request. Make sure the value of Authorization header is formed correctly including the signature"

When opening log files for an experiment I get:
"403: You are not authorized to access this resource."

The resync keys operation from the command line works, as I can see in the Machine Learning service Activity log. The Python SDK code also works, as I tried updating the resource group name or default datastore and this gets through.

Any ideas on how to fix this? I am at a loss.

Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
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  1. romungi-MSFT 43,691 Reputation points Microsoft Employee

    Updating this thread with the resolution steps performed by our team in this scenario.


    After updating the storage access keys, the job submission was failing with 403


    The values for the storage keys was cached in the storage connection strings at the backend


    The engineering team manually deleted the cached storage keys from the backend

    @Jim-9799 Please feel free to accept this as answer so any other user can follow the steps.

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