I am not v clear on the question but when we provision DLT workflow you can tweak what type of cluster and the servers etc EG

{

"clusters": [

{

"label": "default",

"node_type_id": "c5.4xlarge",

"driver_node_type_id": "c5.4xlarge",

"num_workers": 20,

"spark_conf": {

"spark.databricks.io.parquet.nativeReader.enabled": "false"

},

"aws_attributes": {

"instance_profile_arn": "arn:aws:..."

}

},

{

"label": "maintenance",

"aws_attributes": {

"instance_profile_arn": "arn:aws:..."

}

}

]

}

it will then provision those servers in your cloud provider

So the total cost will be the DBU cost and the cost of your EC2 instances