code: def test_create_model(sagemaker_session):
      auto_ml = AutoML(
          role=ROLE,
          target_attribute_name=TARGET_ATTRIBUTE_NAME,
          sagemaker_session=sagemaker_session,
      )
  
      pipeline_model = auto_ml.create_model(
          name=JOB_NAME,
          sagemaker_session=sagemaker_session,
          candidate=CLASSIFICATION_CANDIDATE_DICT,
          vpc_config=VPC_CONFIG,
          enable_network_isolation=True,
          model_kms_key=None,
          predictor_cls=None,
          inference_response_keys=None,
      )
  
      assert isinstance(pipeline_model, PipelineModel)
  
imports: from __future__ import absolute_import
  import copy
  import pytest
  from mock import Mock, patch
  from sagemaker import AutoML, AutoMLJob, AutoMLInput, CandidateEstimator, PipelineModel
  from sagemaker.predictor import Predictor
  from sagemaker.session_settings import SessionSettings
  from sagemaker.workflow.functions import Join
  from tests.unit import SAGEMAKER_CONFIG_AUTO_ML, SAGEMAKER_CONFIG_TRAINING_JOB, _test_default_bucket_and_prefix_combinations, DEFAULT_S3_BUCKET_NAME, DEFAULT_S3_OBJECT_KEY_PREFIX_NAME
label_desc: Use image node_id 31 for calling a global function with example usage: test_create_model(sagemaker_session) without return types