I followed this tutorial: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-change-storage-access-key - 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.