**Apache Airflow version**: 2.0.2


**Kubernetes version (if you are using kubernetes)** (use `kubectl version`): NA

**Environment**: MWAA and Locally

- **Cloud provider or hardware configuration**: AWS
- **OS** (e.g. from /etc/os-release): NA
- **Kernel** (e.g. `uname -a`): NA
- **Install tools**: NA
- **Others**: NA

**What happened**:

When calling the SagemakerProcessingOperator sometimes get: "botocore.exceptions.ClientError: An error occurred (ThrottlingException)" due to excessive ListProcessingJobs operations.

**What you expected to happen**:

The job should have started without timing out. I believe one fix would be to use the `NameContains` functionality of boto3 [list_processing_jobs](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sagemaker.html#SageMaker.Client.list_processing_jobs) so you don't have to paginate as is occurring [here](https://github.com/apache/airflow/blob/main/airflow/providers/amazon/aws/hooks/sagemaker.py#L916). 

**How to reproduce it**:

If you incrementally create Sagemaker Processing jobs you will eventually see the Throttling as the pagination increases.

**Anything else we need to know**:

This looks like it is happening when the account already has a lot of former Sagemaker Processing jobs.
airflow/providers/amazon/aws/hooks/sagemaker.py
"""
        This method is deprecated.
        Please use
        :py:meth:`airflow.providers.amazon.aws.hooks.logs.AwsLogsHook.get_log_events` instead.
        """
        warnings.warn(
            "Method `log_stream` has been deprecated. "
            "Please use "
            "`airflow.providers.amazon.aws.hooks.logs.AwsLogsHook.get_log_events` instead.",
            category=DeprecationWarning,
            stacklevel=2,
        )
        return self.logs_hook.get_log_events(log_group, stream_name, start_time, skip)
    def multi_stream_iter(self, log_group: str, streams: list, positions=None) -> Generator:
        """
        Iterate over the available events coming from a set of log streams in a single log group
        interleaving the events from each stream so they're yielded in timestamp order.
        :param log_group: The name of the log group.
        :type log_group: str