pyspark_batch = dataproc.types.PySparkBatch(
        main_python_file_uri=...,
        args=...,
        python_file_uris=...,
        jar_file_uris=...,
        archive_uris=[...],
    )
    batch = dataproc.types.Batch(
        pyspark_batch=pyspark_batch,
        runtime_config=dataproc.types.RuntimeConfig(
            version=...,
            properties=...,
            autotuning_config=dataproc.types.AutotuningConfig(    ###
                cohort="my-cohort",                               #  new
                scenarios=["SCALING", "BHJ", "MEMORY"],           #  config
            ),                                                    ###
        ),
    )

    request = dataproc.CreateBatchRequest(
        parent=...,
        batch=batch,
    )

    client = dataproc.BatchControllerClient()
    op = client.create_batch(request=request)