So, I don't understand if there is a possibility to overwrite the same workflow because could be a mess if someone changes a cluster configuration I want to be sure that there is only one workflow activated with the new configuration. I'm saying those things, because there was deployed in production one workflow but this one was replicated with a new cluster configuration, but should be overwritten the existed one, why it creates a new workflow

  prod:
    workspace:
      host: <host_url>
      root_path: /Workspace/Users/${workspace.current_user.userName}/.bundle/${bundle.name}/${bundle.target}
    
    mode: production

    # permissions:
    #  - user_name: ${workspace.current_user.userName}
    #    level: CAN_MANAGE

    run_as:
      service_principal_name: <sp_id>

    sync:
      exclude: 
        - ./notebook/stg/*.*

    resources:
      jobs:
        sync_delta_and_db:
          name: sync_delta_and_db_${bundle.target}

          schedule: # runs the job every day at 3AM
            quartz_cron_expression: "0 0 3 * * ?"
            timezone_id: "UTC"

          tasks:
            - task_key: sync_delta_${bundle.target}
              job_cluster_key: sync_delta_${bundle.target}_cluster
              notebook_task:
                notebook_path: ./notebook/${bundle.target}/db_sync_initial_wip.ipynb
                source: WORKSPACE
              libraries:
                - whl: ${workspace.root_path}/files/dist/<lib>-0.0.1-py3-none-any.whl

          job_clusters: # TODO: this needs to be resized once we understand how to handle massive data properly
            - job_cluster_key: sync_delta_${bundle.target}_cluster
              new_cluster:
                spark_version: 15.4.x-scala2.12
                node_type_id: Standard_DS3_v2
                runtime_engine: PHOTON
                num_workers: 0
                spark_conf:
                  spark.databricks.cluster.profile: singleNode
                  spark.master: local[*]
                custom_tags:
                  ResourceClass: SingleNode