* and stop setting default values in python operator code, so defaults can be set at the server side.

This issue is just for the PR and questions from maintainers. 
airflow/providers/yandex/operators/yandexcloud_dataproc.py
#
#
from typing import Dict, Iterable, Optional, Union
from airflow.models import BaseOperator
from airflow.providers.yandex.hooks.yandexcloud_dataproc import DataprocHook
class DataprocCreateClusterOperator(BaseOperator):
    """Creates Yandex.Cloud Data Proc cluster.
    :param folder_id: ID of the folder in which cluster should be created.
    :type folder_id: Optional[str]
    :param cluster_name: Cluster name. Must be unique inside the folder.
    :type cluster_name: Optional[str]
    :param cluster_description: Cluster description.
    :type cluster_description: str
    :param cluster_image_version: Cluster image version. Use default.
    :type cluster_image_version: str
    :param ssh_public_keys: List of SSH public keys that will be deployed to created compute instances.
    :type ssh_public_keys: Optional[Union[str, Iterable[str]]]
    :param subnet_id: ID of the subnetwork. All Data Proc cluster nodes will use one subnetwork.
    :type subnet_id: str
    :param services: List of services that will be installed to the cluster. Possible options:
        HDFS, YARN, MAPREDUCE, HIVE, TEZ, ZOOKEEPER, HBASE, SQOOP, FLUME, SPARK, SPARK, ZEPPELIN, OOZIE
    :type services: Iterable[str]
    :param s3_bucket: Yandex.Cloud S3 bucket to store cluster logs.
                      Jobs will not work if the bucket is not specified.
    :type s3_bucket: Optional[str]
    :param zone: Availability zone to create cluster in.