how to create a sagemaker processing job ?

Question

i have used boto3 to create a sagemaker processing job , but i want to do the same with aws cli. I see the documentation , but find at times it is not very clear. for example, i have boto3 code to create processing job ( example contrived for this question) .

what would this look like if we used aws cli?

```
import boto3
sage_maker = boto3.client('sagemaker')

sage_maker.create_processing_job(
  ProcessingJobName="jakesjob",
  ProcessingInputs={
      "S3Input" : {
           "S3Uri": "s3://BUCKET",
           "S3DataType": "S3Prefix",
           "S3InputMode": "File"
       }
  },
  ProcessingResources={
     "ClusterConfig": {
          "InstanceCount": 1,
          "InstanceType": "ml.t3.large"
      }
  }
)
```

Accepted Answer

Hello.

In the case of AWS CLI, I think you will use the "create-processing-job" command.  
https://awscli.amazonaws.com/v2/documentation/api/latest/reference/sagemaker/create-processing-job.html

I think the boto3 code you provided will look like the following when converted to AWS CLI.  
```
aws sagemaker create-processing-job --processing-job-name "jakesjob" --processing-inputs S3Input={S3Uri="s3://BUCKET",S3DataType="S3Prefix",S3InputMode="File"} --processing-resources ClusterConfig={InstanceCount=1,InstanceType="ml.t3.large"}
```

how to create a sagemaker processing job ?

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