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Merge pull request #271300 from AjayBathini-MSFT/patch-158
(AzureCXP) fixes MicrosoftDocs/azure-docs#121315
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articles/machine-learning/how-to-access-data-interactive.md

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@@ -97,7 +97,7 @@ You can also instantiate an Azure Machine Learning filesystem, to handle filesys
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from azureml.fsspec import AzureMachineLearningFileSystem
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# instantiate file system using following URI
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fs = AzureMachineLearningFileSystem('azureml://subscriptions/<subid>/resourcegroups/<rgname>/workspaces/<workspace_name>/datastore/datastorename')
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fs = AzureMachineLearningFileSystem('azureml://subscriptions/<subid>/resourcegroups/<rgname>/workspaces/<workspace_name>/datastore*s*/datastorename')
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fs.ls() # list folders/files in datastore 'datastorename'
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