### Apache Airflow Provider(s)

amazon

### Versions of Apache Airflow Providers



apache-airflow-providers-amazon | 2.4.0

### Apache Airflow version

2.2.3 (latest released)

### Operating System

Amazon Linux 2

### Deployment

MWAA

### Deployment details

_No response_

### What happened

Sagemaker Processing Operator no longer honors the `action_if_job_exists` param and always fails creation of a new processing job is a job with the name already exists. 

This happens because in a recent change, the function responsible for executing the job no longer honors the increment setting:

Change that breaks the increment: https://github.com/apache/airflow/commit/96dd70348ad7e31cfeae6d21af70671b41551fe9

New code: https://github.com/apache/airflow/blob/6734eb1d09a99dc519e89a59e2086cef09a87098/airflow/providers/amazon/aws/operators/sagemaker.py#L167

  

### What you expected to happen

When Sagemaker Processing operator is called with a job-name that already exists, the job creation should succeed with a name that is incremented by 1.   

### How to reproduce

invoke SageMakerProcessingOperator twice with the same job name while keeping action_if_job_exists as 'increment'.   

### Anything else

_No response_

### Are you willing to submit 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)

self, name_contains: str | None = None, max_results: int | None = None, **kwargs
    ) -> tuple[dict[str, Any], int | None]:
        """
        This method preprocesses the arguments to the boto3's list_* methods.
        It will turn arguments name_contains and max_results as boto3 compliant CamelCase format.
        This method also makes sure that these two arguments are only set once.
        :param name_contains: boto3 function with arguments
        :param max_results: the result key to iterate over
        :param kwargs: (optional) kwargs to boto3's list_* method
        :return: Tuple with config dict to be passed to boto3's list_* method and max_results parameter
        """
        config = {}
        if name_contains:
            if "NameContains" in kwargs:
                raise AirflowException("Either name_contains or NameContains can be provided, not both.")
            config["NameContains"] = name_contains
        if "MaxResults" in kwargs and kwargs["MaxResults"] is not None:
            if max_results:
                raise AirflowException("Either max_results or MaxResults can be provided, not both.")
            
            max_results = kwargs["MaxResults"]
            del kwargs["MaxResults"]
        config.update(kwargs)
        return config, max_results
    def _list_request(