### Description

The Python Google Cloud Dataproc API version has been updated in Airflow to support filtering on the Dataproc Batches API.  The DataprocListBatchesOperator can be updated to make use of this filtering.  

Currently, DataprocListBatchesOperator returns, and populates xcom with every job run in the project.  This almost surely will fail as the return object is large and xcom storage is low, especially with MySQL. Filtering on job prefix and create_time are much more useful capabilities. 

### Use case/motivation

The ability to filter lists of GCP Dataproc Batches jobs.  

### Related issues

None

### Are you willing to submit a 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)

cluster_name: str,
        project_id: str,
        retry: Retry | _MethodDefault = DEFAULT,
        timeout: float | None = None,
        metadata: Sequence[tuple[str, str]] = (),
    ) -> str:
        """Get cluster diagnostic information.
        After the operation completes, the GCS URI to diagnose is returned.
        :param project_id: Google Cloud project ID that the cluster belongs to.
        :param region: Cloud Dataproc region in which to handle the request.
        :param cluster_name: Name of the cluster.
        :param retry: A retry object used to retry requests. If *None*, requests
            will not be retried.
        :param timeout: The amount of time, in seconds, to wait for the request
            to complete. If *retry* is specified, the timeout applies to each
            individual attempt.
        :param metadata: Additional metadata that is provided to the method.
        """
        client = self.get_cluster_client(region=region)
        operation = await client.diagnose_cluster(
            request={"project_id": project_id, "region": region, "cluster_name": cluster_name},
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )
        operation.result()
        gcs_uri = str(operation.operation.response.value)
        return gcs_uri
    @GoogleBaseHook.fallback_to_default_project_id
    async def get_cluster(