* 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
"""Runs Spark job in Data Proc cluster.
    :param main_jar_file_uri: URI of jar file with job. Can be placed in HDFS or S3.
    :type main_jar_file_uri: Optional[str]
    :param main_class: Name of the main class of the job.
    :type main_class: Optional[str]
    :param file_uris: URIs of files used in the job. Can be placed in HDFS or S3.
    :type file_uris: Optional[Iterable[str]]
    :param archive_uris: URIs of archive files used in the job. Can be placed in HDFS or S3.
    :type archive_uris: Optional[Iterable[str]]
    :param jar_file_uris: URIs of JAR files used in the job. Can be placed in HDFS or S3.
    :type jar_file_uris: Optional[Iterable[str]]
    :param properties: Properties for the job.
    :type properties: Optional[Dist[str, str]]
    :param args: Arguments to be passed to the job.
    :type args: Optional[Iterable[str]]
    :param name: Name of the job. Used for labeling.
    :type name: str
    :param cluster_id: ID of the cluster to run job in.
                       Will try to take the ID from Dataproc Hook object if ot specified. (templated)
    :type cluster_id: Optional[str]
    :param connection_id: ID of the Yandex.Cloud Airflow connection.
    :type connection_id: Optional[str]
    """
    template_fields = ['cluster_id']
    def __init__(