[Azure ML SDK v2] Issue while reading data from `uri_folder` Input type via https://<account_name> scheme

• Package Name: azure-ai-ml
• Package Version: 1.0.0
• Operating System: Windows Server 2022 Standard
• Python Version: 3.9.13

Describe the bug According to the documentation it should be possible to access public blob storage containers using Input(type='uri_folder') instance. While passing actual path of the data, azure docs say that it is possible to use either https://<account_name>.blob.core.windows.net/<container_name>/<path> or abfss://<file_system>@<account_name>.dfs.core.windows.net/<path> path format

I tried to use the first option (https://) with diabetes dataset, which is available under the following link: https://azureopendatastorage.blob.core.windows.net/mlsamples/diabetes. However, this access method causes error like below:

{"NonCompliant":"DataAccessError(NotFound)"}
{
  "code": "data-capability.UriMountSession.PyFuseError",
  "target": "",
  "category": "UserError",
  "error_details": [
    {
      "key": "NonCompliantReason",
      "value": "DataAccessError(NotFound)"
    },
    {
      "key": "StackTrace",
      "value": "  File \"/opt/miniconda/envs/data-capability/lib/python3.7/site-packages/data_capability/capability_session.py\", line 70, in start\n    (data_path, sub_data_path) = session.start()\n\n  File \"/opt/miniconda/envs/data-capability/lib/python3.7/site-packages/data_capability/data_sessions.py\", line 364, in start\n    options=mnt_options\n\n  File \"/opt/miniconda/envs/data-capability/lib/python3.7/site-packages/azureml/dataprep/fuse/dprepfuse.py\", line 696, in rslex_uri_volume_mount\n    raise e\n\n  File \"/opt/miniconda/envs/data-capability/lib/python3.7/site-packages/azureml/dataprep/fuse/dprepfuse.py\", line 690, in rslex_uri_volume_mount\n    mount_context = RslexDirectURIMountContext(mount_point, uri, options)\n"
    }
  ]
}


AzureMLCompute job failed.
data-capability.UriMountSession.PyFuseError: [REDACTED]
  Reason: [REDACTED]
  StackTrace:   File "/opt/miniconda/envs/data-capability/lib/python3.7/site-packages/data_capability/capability_session.py", line 70, in start
    (data

With the second option, i.e. wasbs://[e-mail]/diabetes job finishes successfully

To Reproduce Steps to reproduce the behavior: Execute the following code:

ml_client = MLClient(...)

job = command(
    command="ls ${{inputs.diabetes}}",
    inputs={
        "diabetes": Input(
            type="uri_folder",
            path="https://azureopendatastorage.blob.core.windows.net/mlsamples/diabetes",
        )
    },
    environment="AzureML-sklearn-0.24-ubuntu18.04-py37-cpu@latest",
    compute="cpu-cluster",
    display_name="data_access_test",
    # description,
    experiment_name="data_access_test"
)

ml_client.create_or_update(job)

Expected behavior Job will complete successfully. User logs will show the list of files inside passed blob storage folder

[glebrh]

Then the documentation should be updated, I guess? Wherever it is mentioned that access to uri_folder is possible via https protocol, it should be removed?

For instance here or here

Or eventually, support for https + uri_folder will be added?

[luigiw]

I think this will be a document improvement.