An Azure machine learning service for building and deploying models.
The problem was solved by updating the account keys in the workspace.
az ml workspace sync-keys -w mlw-kundenscore -g rg-datascience
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Azure fails to connect with the Dataset citing 403 inspite of SAS token
This appears when we try to load the data as a pandas dataframe . dataset = Dataset.get_by_name() works
Error message:
{
"error": {
"code": "UserError",
"message": "Execution failed in operation 'to_pandas_dataframe' for Dataset(id='data id', name='dataset name', error_code=ScriptExecution.StreamAccess.Authentication,error_message=ScriptExecutionException was caused by StreamAccessException.\r\n StreamAccessException was caused by AuthenticationException.\r\n Authentication failed for 'AzureBlob GetReference' operation at '[REDACTED]' with '403: AuthenticationFailed'. Please make sure the SAS token or the account key is correct.\r\n Failed due to inner exception of type: StorageException\r\n| session_id=session_id) ErrorCode: ScriptExecution.StreamAccess.Authentication"
}
}
An Azure machine learning service for building and deploying models.
An Azure service that stores unstructured data in the cloud as blobs.
Answer accepted by question author
The problem was solved by updating the account keys in the workspace.
az ml workspace sync-keys -w mlw-kundenscore -g rg-datascience
Hi, some suggestions include:
--- *Kindly Accept Answer if the information helps. Thanks.*