Isn't Interactive login, default for Workspace.from_config()?

Question

According to this notebook

Interactive Authentication
Interactive authentication is the default mode when using Azure ML SDK.

When you connect to your workspace using workspace.from_config, you will get an interactive login dialog.

So, i ran ws=Workspace.from_config()
and got the following error

--------------------------------------------------------------------------
UserErrorException                        Traceback (most recent call last)
<ipython-input-13-e469111f639c> in <module>
----> 1 ws = Workspace.from_config()

~\Documents\Softwares\Anaconda3\lib\site-packages\azureml\core\workspace.py in from_config(path, auth, _logger, _file_name)
    276
    277             if not found_path:
--> 278                 raise UserErrorException(
    279                     'We could not find config.json in: {} or in its parent directories. '
    280                     'Please provide the full path to the config file or ensure that '

UserErrorException: UserErrorException:
        Message: We could not find config.json in: C:\Users\qwewqd or in its parent directories. Please provide the full path to the config file or ensure that config.json exists in the parent directories.
        InnerException None
        ErrorResponse
{
    "error": {
        "code": "UserError",
        "message": "We could not find config.json in: C:\\Users\\qwewqd or in its parent directories. Please provide the full path to the config file or ensure that config.json exists in the parent directories."
    }
}

Answer 1

@kalyan reddy A configuration file(JSON) is created when you run the configuration.ipynb file or notebook which can then be used to get the configuration using
ws = Workspace.from_config()

You can run this notebook and create a new workspace if not available or use the existing workspace. For example, Set the workspace details as environment varibles.

import os  
  
subscription_id = os.getenv("SUBSCRIPTION_ID", default="<my-subscription-id>")  
resource_group = os.getenv("RESOURCE_GROUP", default="<my-resource-group>")  
workspace_name = os.getenv("WORKSPACE_NAME", default="<my-workspace-name>")  
workspace_region = os.getenv("WORKSPACE_REGION", default="eastus2")  

Write then to config.json file

from azureml.core import Workspace  
  
try:  
    ws = Workspace(subscription_id = subscription_id, resource_group = resource_group, workspace_name = workspace_name)  
    # write the details of the workspace to a configuration file to the notebook library  
    ws.write_config()  
    print("Workspace configuration succeeded. Skip the workspace creation steps below")  
except:  
    print("Workspace not accessible. Change your parameters or create a new workspace below")  

You can now access this config from other notebooks and need not specify the subscription or workspace details in every notebook file.