Hi,
I am trying to define a policy for our DLT pipelines and I would like to provide a specific spark version like in the below example: 

{
  "spark_conf.spark.databricks.cluster.profile": {
    "type": "forbidden",
    "hidden": true
  },
  "spark_version": {
    "type": "allowlist",
    "values": [
      "14.3.x-scala2.12"
    ]
  },
  "node_type_id": {
    "type": "unlimited",
    "defaultValue": "Standard_DS3_v2",
    "isOptional": true
  },
  "num_workers": {
    "type": "unlimited",
    "defaultValue": 4,
    "isOptional": true
  },
  "azure_attributes.availability": {
    "type": "unlimited",
    "defaultValue": "SPOT_WITH_FALLBACK_AZURE"
  },
  "azure_attributes.spot_bid_max_price": {
    "type": "fixed",
    "value": 100,
    "hidden": true
  },
  "instance_pool_id": {
    "type": "forbidden",
    "hidden": true
  },
  "driver_instance_pool_id": {
    "type": "forbidden",
    "hidden": true
  },
  "cluster_type": {
    "type": "fixed",
    "value": "dlt"
  }
}

 But I am getting this error in my pipeline:

INVALID_PARAMETER_VALUE: [DLT ERROR CODE: INVALID_CLUSTER_SETTING.CLIENT_ERROR] The cluster policy specified in the pipeline settings is not compatible with Delta Live Tables. Remove 'spark_version’ from your cluster policy.

Could you please help me with it?