code: def test_create_transform_job_returns_arn_containing_transform_job_name(
      sagemaker_client,
  ):
      model_name = "sample-model"
      create_sagemaker_model(
          sagemaker_client=sagemaker_client, model_name=model_name
      )
  
      transform_input = {
          "DataSource": {
              "S3DataSource": {
                  "S3DataType": "Some Data Type",
                  "S3Uri": "Some Input Uri",
              }
          }
      }
  
      transform_output = {"S3OutputPath": "Some Output Path"}
  
      transform_resources = {
          "InstanceType": "Some Instance Type",
          "InstanceCount": 1,
      }
  
      job_name = "sample-job"
  
      create_transform_job_response = (
          sagemaker_client.create_transform_job(
              TransformJobName=job_name,
              ModelName=model_name,
              TransformInput=transform_input,
              TransformOutput=transform_output,
              TransformResources=transform_resources,
              Tags=[{"Key": "Some Key", "Value": "Some Value"}],
          )
      )
  
      assert "TransformJobArn" in create_transform_job_response
      assert (
          job_name in create_transform_job_response["TransformJobArn"]
      )
  
imports: import boto3
  import pytest
  from tests.helper_functions import set_boto_credentials
  from tests.sagemaker.mock import mock_sagemaker
label_desc: Use image node_id 28 for calling a global function with example usage: test_create_transform_job_returns_arn_containing_transform_job_name(sagemaker_client) without return types