### 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)

key = "test/data"
data_url = f"s3://{bucket}/{key}"
job_name = "test-job"
model_name = "test-model"
config_name = "test-endpoint-config"
endpoint_name = "test-endpoint"
image = "test-image"
test_arn_return = {"Arn": "testarn"}
output_url = f"s3://{bucket}/test/output"
create_training_params = {
    "AlgorithmSpecification": {"TrainingImage": image, "TrainingInputMode": "File"},
    "RoleArn": role,
    "OutputDataConfig": {"S3OutputPath": output_url},
    "ResourceConfig": {"InstanceCount": 2, "InstanceType": "ml.c4.8xlarge", "VolumeSizeInGB": 50},
    "TrainingJobName": job_name,
    "HyperParameters": {"k": "10", "feature_dim": "784", "mini_batch_size": "500", "force_dense": "True"},
    "StoppingCondition": {"MaxRuntimeInSeconds": 60 * 60},
    "InputDataConfig": [
        {
            "ChannelName": "train",
            "DataSource": {
                "S3DataSource": {
                    "S3DataType": "S3Prefix",
                    "S3Uri": data_url,
                    "S3DataDistributionType": "FullyReplicated",
                }
            },
            "CompressionType": "None",
            "RecordWrapperType": "None",
        },