def METHOD_NAME(
    bobby_columnar_table_multi_batch_deterministic_data_context,
):
    context: DataContext = bobby_columnar_table_multi_batch_deterministic_data_context
    batch_request: dict = {
        "datasource_name": "taxi_pandas",
        "data_connector_name": "monthly",
        "data_asset_name": "my_reports",
    }
    with patch(
        "great_expectations.rule_based_profiler.data_assistant.data_assistant.run_profiler_on_data"
    ) as mock_run_profiler_on_data:
        context.assistants.missingness.run(batch_request=batch_request)
    call_args = mock_run_profiler_on_data.call_args[1]
    profiler = call_args["profiler"]
    rules = profiler.config.rules
    expectation_configuration_builders = rules["column_value_missing_rule"][
        "expectation_configuration_builders"
    ]
    for builder in expectation_configuration_builders:
        validation_parameter_builder_configs = builder[
            "validation_parameter_builder_configs"
        ]
        assert len(validation_parameter_builder_configs) == 1
        assert validation_parameter_builder_configs[0]["mode"] == "multi_batch"