### Description

Spark-submit 
--queue thequeue option specifies the YARN queue to which the application should be submitted.


more  - https://spark.apache.org/docs/3.2.0/running-on-yarn.html

### Use case/motivation


The --queue option is particularly useful in a multi-tenant environment where different users or groups have allocated resources in specific YARN queues.

### Related issues

_No response_

### 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)

"--start",
            "{{ macros.ds_add(ds, -1)}}",
            "--end",
            "{{ ds }}",
            "--with-spaces",
            "args should keep embedded spaces",
        ],
        "use_krb5ccache": True,
    }
    def setup_method(self):
        args = {"owner": "airflow", "start_date": DEFAULT_DATE}
        self.dag = DAG("test_dag_id", default_args=args)
    def test_execute(self):
        
        conn_id = "spark_default"
        operator = SparkSubmitOperator(
            task_id="spark_submit_job",
            spark_binary="sparky",
            dag=self.dag,
            **self._config,
        )
        
        expected_dict = {
            "conf": {"parquet.compression": "SNAPPY"},
            "files": "hive-site.xml",
            "py_files": "sample_library.py",
            "archives": "sample_archive.zip#SAMPLE",
            "driver_class_path": "parquet.jar",
            "jars": "parquet.jar",
            "packages": "com.databricks:spark-avro_2.11:3.2.0",