### 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)

else:
            raise ValueError('Invalid value! Argument operation has to be one of "create" and "update"')
        self.log.info("%s SageMaker endpoint %s.", log_str, endpoint_info["EndpointName"])
        try:
            response = sagemaker_operation(
                endpoint_info,
                wait_for_completion=self.wait_for_completion,
                check_interval=self.check_interval,
                max_ingestion_time=self.max_ingestion_time,
            )
        except ClientError:
            self.operation = "update"
            sagemaker_operation = self.hook.update_endpoint
            log_str = "Updating"
            response = sagemaker_operation(
                endpoint_info,
                wait_for_completion=self.wait_for_completion,
                check_interval=self.check_interval,
                max_ingestion_time=self.max_ingestion_time,
            )
        if response["ResponseMetadata"]["HTTPStatusCode"] != 200:
            raise AirflowException(f"Sagemaker endpoint creation failed: {response}")
        else:
            return {
                "EndpointConfig": serialize(
                    self.hook.describe_endpoint_config(endpoint_info["EndpointConfigName"])
                ),
                "Endpoint": serialize(self.hook.describe_endpoint(endpoint_info["EndpointName"])),
            }
class SageMakerTransformOperator(SageMakerBaseOperator):