### Apache Airflow version

main (development)

### What happened

The DataprocCreateBatchOperator (Google provider) handles the case when a batch_id already exists in the Dataproc API by 'reattaching' to a potentially running job.  

Current reattachment logic uses the non-deferrable method even when the operator is in deferrable mode.  

### What you think should happen instead

The operator should reattach in deferrable mode. 

### How to reproduce

Create a DAG with a task of DataprocCreateBatchOperator that is long running.  Make DataprocCreateBatchOperator deferrable in the constructor.  

Restart local Airflow to simulate having to 'reattach' to a running job in Google Cloud Dataproc. 

The operator resumes using the running job but in the code path for the non-derferrable logic.  

### Operating System

macOS 13.4.1 (22F82)

### Versions of Apache Airflow Providers

Current main.

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"""
        Helper method for easier migration.
        :return: Dict representing Dataproc cluster.
        """
        return self._build_cluster_data()
class DataprocCreateClusterOperator(GoogleCloudBaseOperator):
    """Create a new cluster on Google Cloud Dataproc.
    The operator will wait until the creation is successful or an error occurs
    in the creation process.
    If the cluster already exists and ``use_if_exists`` is True, the operator will:
    If the cluster already exists and ``use_if_exists`` is True then the operator will:
    - if cluster state is ERROR then delete it if specified and raise error
    - if cluster state is CREATING wait for it and then check for ERROR state
    - if cluster state is DELETING wait for it and then create new cluster
    Please refer to
    https://cloud.google.com/dataproc/docs/reference/rest/v1/projects.regions.clusters
    for a detailed explanation on the different parameters. Most of the configuration
    parameters detailed in the link are available as a parameter to this operator.
    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:DataprocCreateClusterOperator`
    :param project_id: The ID of the Google cloud project in which
        to create the cluster. (templated)
    :param cluster_name: Name of the cluster to create
    :param labels: Labels that will be assigned to created cluster. Please, notice that
        adding labels to ClusterConfig object in cluster_config parameter will not lead
        to adding labels to the cluster. Labels for the clusters could be only set by passing
        values to parameter of DataprocCreateCluster operator.
    :param cluster_config: Required. The cluster config to create.