code: def test_auto_ml_only_one_of_problem_type_and_job_objective_provided(
      sagemaker_session,
  ):
      with pytest.raises(ValueError) as excinfo:
          AutoML(
              role=ROLE,
              target_attribute_name=TARGET_ATTRIBUTE_NAME,
              sagemaker_session=sagemaker_session,
              problem_type=PROBLEM_TYPE,
          )
  
      message = (
          "One of problem type and objective metric provided. Either both of them "
          "should be provided or none of them should be provided."
      )
      assert message in str(excinfo.value)
  
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 9 for calling a global function with example usage: test_auto_ml_only_one_of_problem_type_and_job_objective_provided(sagemaker_session) without return types