Azure Machine Learning pipelines fail due to missing space in optional component arguments when rendering runtime expression

### Describe the bug

We try to follow the recommendation of using optional inputs as described here:
https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-inputs-outputs-pipeline?view=azureml-api-2&tabs=cli#define-optional-inputs
But our pipeline throw error unrecognized arguments.

### Related command

az ml component create -f XXX.yaml
az ml job create -f XXX.yaml

### Errors

In our command component, we added


And we got following error from our pipeline job

Error: train.py: error: unrecognized arguments: --max_epocs5

### Issue script & Debug output

There is no error when using the cli tool directly.
The error happens when our pipeline in Azure Machine Learning runs.

### Expected behavior

No error should exist and optional parameter should be provided correctly.

### Environment Summary

azure-cli 2.68.0 *

core 2.68.0 *
telemetry 1.1.0

Extensions:
ml 2.35.0

Dependencies:
msal 1.31.1
azure-mgmt-resource 23.1.1

Python location 'C:\Program Files\Microsoft SDKs\Azure\CLI2\python.exe'
Extensions directory 'C:\Users\z005230u\.azure\cliextensions'

Python (Windows) 3.12.8 (tags/v3.12.8:2dc476b, Dec 3 2024, 19:30:04) [MSC v.1942 64 bit (AMD64)]

### Additional context

_No response_