Conditional Pipeline Job steps Azure ML v2

## What example? Describe it

How to run steps conditionally from a Job pipeline (yaml) if possible at all.

Example:
I want to run a step (fine-tuning for example) only on some boolean condition and I would like to pass this condition inside the yaml file which describe the pipeline Job. ( In Kubeflow this is possible through dsl.condition in the python sdk )

```
$schema: https://azuremlschemas.azureedge.net/latest/pipelineJob.schema.json
type: pipeline
experiment_name: exp
description: description

jobs:
#Training step
train:
name: training
display_name: Model-training
environment: azureml:ccep_train_env_docker@latest
code: ../../training
command: >-
python train_aml.py
**IF :**
#Fine tune step
finetuning:
name: fine_tuning
display_name: Fine-Tuning-Model
code: ../../finetuning
command: >-
python finetune_aml.py

```
Not sure this is possible at all, in case would be great to have an ehnancement, is super useful.

Thanks

-

No repository file, test, or entry point is named. Start by checking the Azure ML v2 pipelineJob schema and existing pipeline examples to determine whether conditional jobs are supported; done requires an agreed YAML behavior or a documented limitation.

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