Estimator Framework Related Packages when specifying conda dependencies file

I find it more convenient to specify additional conda dependencies in a conda_env.yaml file rather then using conda_packages in the Estimator constructor.
The documentation warns me for the conda_dependencies_file parameter: ...If specified, Azure ML will not install any framework related packages. But I could not find a list of these "framework related packages", which are needed, for example, to mount datastores properly. It turns out, including azureml-defaults in the pip dependencies section of the conda yaml files gives me all the functionality I need, but there might be other packages that I missed but would be necessary for other use cases.
Therefore, I would suggest to add a link in the documentation of the conda_dependencies_file parameter to a complete list of these "framework related packages".

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* ID: 0db16bca-3797-0285-3ef2-99de84e4a0be
* Version Independent ID: cba716ef-395b-c8f9-2cbc-967bbc338c87
* Content: [azureml.train.estimator.Estimator class - Azure Machine Learning Python](https://docs.microsoft.com/en-us/python/api/azureml-train-core/azureml.train.estimator.estimator?view=azure-ml-py)
* Content Source: [AzureML-Docset/stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.Estimator.yml](https://github.com/MicrosoftDocs/MachineLearning-Python-pr/blob/live/AzureML-Docset/stable/docs-ref-autogen/azureml-train-core/azureml.train.estimator.Estimator.yml)
* Service: **machine-learning**
* Sub-service: **core**
* GitHub Login: @j-martens
* Microsoft Alias: **jmartens**