You use the following Python code in a notebook to deploy a model as a web service:

from azureml.core.webservice import AciWebservice
from azureml.core.model import InferenceConfig

inference_config = InferenceConfig(runtime='python', source_directory='model_files', entry_script='score.py', conda_file='env.yml')
deployment_config = AciWebservice.deploy_configuration(cpu_cores=1, memory_gb=1)
service = Model.deploy(ws, 'my-service', [model], inference_config, deployment_config)
service.wait_for_deployment(True)

from azureml.core.webservice import AciWebservice
from azureml.core.model import InferenceConfig

inference_config = InferenceConfig(runtime='python', source_directory='model_files', entry_script='score.py', conda_file='env.yml')
deployment_config = AciWebservice.deploy_configuration(cpu_cores=1, memory_gb=1)
service = Model.deploy(ws, 'my-service', [model], inference_config, deployment_config)
service.wait_for_deployment(True)

The deployment fails. You need to use the Python SDK in the notebook to determine the events that occurred during service deployment and initialization. Which code segment should you use?_