### 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)

mock_client.return_value = None
        hook = SageMakerHook()
        mock_check_bucket.side_effect = [False, True, True, True]
        mock_check_key.side_effect = [False, True, False]
        mock_check_prefix.side_effect = [False, True, True]
        with pytest.raises(AirflowException):
            hook.check_s3_url(data_url)
        with pytest.raises(AirflowException):
            hook.check_s3_url(data_url)
        assert hook.check_s3_url(data_url) is True
        assert hook.check_s3_url(data_url) is True
    @mock.patch.object(SageMakerHook, "get_conn")
    @mock.patch.object(SageMakerHook, "check_s3_url")
    def test_check_valid_training(self, mock_check_url, mock_client):
        mock_client.return_value = None
        hook = SageMakerHook()
        hook.check_training_config(create_training_params)
        mock_check_url.assert_called_once_with(data_url)
        
        create_training_params_no_inputdataconfig = create_training_params.copy()
        create_training_params_no_inputdataconfig.pop("InputDataConfig")
        hook.check_training_config(create_training_params_no_inputdataconfig)
    @mock.patch.object(SageMakerHook, "get_conn")
    @mock.patch.object(SageMakerHook, "check_s3_url")
    def test_check_valid_tuning(self, mock_check_url, mock_client):