### 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,
        *,
        config: dict,
        aws_conn_id: str = DEFAULT_CONN_ID,
        **kwargs,
    ):
        super().__init__(config=config, **kwargs)
        self.aws_conn_id = aws_conn_id
    def _create_integer_fields(self) -> None:
        """Set fields which should be cast to integers."""
        self.integer_fields: list[list[str]] = [["ProductionVariants", "InitialInstanceCount"]]
    def execute(self, context: Context) -> dict:
        self.preprocess_config()
        self.log.info("Creating SageMaker Endpoint Config %s.", self.config["EndpointConfigName"])
        response = self.hook.create_endpoint_config(self.config)
        if response["ResponseMetadata"]["HTTPStatusCode"] != 200:
            raise AirflowException(f"Sagemaker endpoint config creation failed: {response}")
        else:
            return {
                "EndpointConfig": serialize(
                    self.hook.describe_endpoint_config(self.config["EndpointConfigName"])
                )
            }
class SageMakerEndpointOperator(SageMakerBaseOperator):