code: def check_job_config(sagemaker_session):
      return CheckJobConfig(
          role=_ROLE,
          instance_count=1,
          instance_type="ml.m5.xlarge",
          volume_size_in_gb=60,
          max_runtime_in_seconds=1800,
          sagemaker_session=sagemaker_session,
          base_job_name=_CHECK_JOB_PREFIX,
      )
  
file_path: sagemaker-python-sdk/tests/unit/sagemaker/workflow/test_quality_check_step.py
imports: from __future__ import absolute_import
  import json
  import pytest
  from sagemaker.model_monitor import DatasetFormat
  from sagemaker.workflow.parameters import ParameterString
  from sagemaker.workflow.pipeline import Pipeline
  from sagemaker.workflow.pipeline import PipelineDefinitionConfig
  from sagemaker.workflow.quality_check_step import QualityCheckStep, DataQualityCheckConfig, ModelQualityCheckConfig, QualityCheckConfig
  from sagemaker.workflow.steps import CacheConfig
  from sagemaker.workflow.check_job_config import CheckJobConfig
label_desc: Use image node_id 4 for calling a global function with example usage: check_job_config(sagemaker_session) and returns: CheckJobConfig