remove en-us

Author: nibaccam

articles/machine-learning/how-to-access-data.md

@@ -135,7 +135,7 @@ file_datastore = Datastore.register_azure_file_share(workspace=ws,
 
 #### Azure Data Lake Storage Generation 2
 
-For an Azure Data Lake Storage Generation 2 (ADLS Gen 2) datastore, use [register_azure_data_lake_gen2()](https://docs.microsoft.com/python/api/azureml-core/azureml.core.datastore.datastore?view=azure-ml-py#register-azure-data-lake-gen2-workspace--datastore-name--filesystem--account-name--tenant-id--client-id--client-secret--resource-url-none--authority-url-none--protocol-none--endpoint-none--overwrite-false-) to register a credential datastore connected to an Azure DataLake Gen 2 storage with [service principal permissions](https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal). In order to utilize your service principal you need to [register your application](https://docs.microsoft.com/en-us/azure/active-directory/develop/app-objects-and-service-principals). Learn more about [access control set up for ADLS Gen 2](https://docs.microsoft.com/azure/storage/blobs/data-lake-storage-access-control). 
+For an Azure Data Lake Storage Generation 2 (ADLS Gen 2) datastore, use [register_azure_data_lake_gen2()](https://docs.microsoft.com/python/api/azureml-core/azureml.core.datastore.datastore?view=azure-ml-py#register-azure-data-lake-gen2-workspace--datastore-name--filesystem--account-name--tenant-id--client-id--client-secret--resource-url-none--authority-url-none--protocol-none--endpoint-none--overwrite-false-) to register a credential datastore connected to an Azure DataLake Gen 2 storage with [service principal permissions](https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal). In order to utilize your service principal you need to [register your application](https://docs.microsoft.com/azure/active-directory/develop/app-objects-and-service-principals). Learn more about [access control set up for ADLS Gen 2](https://docs.microsoft.com/azure/storage/blobs/data-lake-storage-access-control). 
 
 The following code creates and registers the `adlsgen2_datastore_name` datastore to the `ws` workspace. This datastore accesses the file system `test` on the `account_name` storage account, by using the provided service principal credentials.
 

articles/machine-learning/how-to-create-your-first-pipeline.md

@@ -358,7 +358,7 @@ dataframe = iris_dataset.to_pandas_dataframe()
 ```
 
 >[!NOTE]
-> All types of datasets (Blob, File Share, ADLS Gen 2, etc. ) can be used as input to any pipeline step, and output can be used in the DataTransferStep. However, writing output data (PipelineData)to ADLS Gen 2  is not supported. 
+> All types of datasets (Blob, File Share, ADLS Gen 2, etc. ) can be used as input to any pipeline step, and output can be used in the DataTransferStep. However, writing output data (PipelineData) back to your ADLS Gen 2 dataset is not supported. 
 
 For more information, see the [azure-pipeline-steps package](https://docs.microsoft.com/python/api/azureml-pipeline-steps/?view=azure-ml-py) and [Pipeline class](https://docs.microsoft.com/python/api/azureml-pipeline-core/azureml.pipeline.core.pipeline%28class%29?view=azure-ml-py) reference.