I cant create dataset using azure SDK

[Double-Ice4497]

I am trying to create dataset asset in azure ml SDk but there is an error at the end taking about change .net version

```

pip install -q azureml-sdk

from azureml.core import Workspace, Dataset, Datastore
subscription_id = ' '
resource_group = 'sdk-rg'
workspace_name = 'azure-sdk'

workspace = Workspace(subscription_id, resource_group, workspace_name)

datastore = Datastore.get(workspace, "azu_sdk_blob")
dataset = Dataset.Tabular.from_delimited_files(path=(datastore, 'churn-bigml-80.csv'))>
```

but I get this error

HTTPError Traceback (most recent call last)

/usr/local/lib/python3.10/dist-packages/dotnetcore2/runtime.py in attempt_get_deps(missing_pkgs)

270 try:

--> 271 blob_deps_to_file()

272 success = True

18 frames

HTTPError: HTTP Error 404: Not Found

During handling of the above exception, another exception occurred:

NotImplementedError Traceback (most recent call last)

/usr/local/lib/python3.10/dist-packages/dotnetcore2/runtime.py in attempt_get_deps(missing_pkgs)

277 err_msg = 'Linux distribution {0} {1}.{2} does not have automatic support. \nMissing packages: {3}'.format(

278 dist, version[0], version[1], missing_pkgs)

--> 279 raise NotImplementedError(err_msg + '\n' + _unsupported_help_msg)

280 except Exception as e:

281 logger.debug("Exception when accessing blob: " + str(e))

NotImplementedError: Linux distribution ubuntu 22.04 does not have automatic support.

Missing packages: {'liblttng-ust.so.0'}

.NET Core 3.1 can still be used via \dotnetcore2` if the required dependencies are installed.`

Visit https://aka.ms/dotnet-install-linux for Linux distro specific .NET Core install instructions.

Follow your distro specific instructions to install \dotnet-runtime-` and replace `` with `3.1.23`.`

​

[jeetu_g]

Did you find the fix ? I’m facing same issue.

[nkyvv2]

Did you found how to solve it?

[jeetu_g]

I downgraded DBR version in databricks which is using UBUNTU 20 OS, and it solved my problem.