Update azureml-getting-started-studio.ipynb

tutorials/azureml-getting-started/azureml-getting-started-studio.ipynb

@@ -270,7 +270,7 @@
     "    command=\"python main.py --data ${{inputs.data}} --test_train_ratio ${{inputs.test_train_ratio}} --learning_rate ${{inputs.learning_rate}} --registered_model_name ${{inputs.registered_model_name}}\",\n",
     "    # This is the ready-made environment you are using\n",
     "    environment=\"AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest\",\n",
-    "    # This is the compute you created earlier\n",
+    "    # This is the compute you created earlier. You can alternatively remove this line to use serverless compute to run the job\n",
     "    compute=\"cpu-cluster\",\n",
     "    # An experiment is a container for all the iterations one does on a certain project. All the jobs submitted under the same experiment name would be listed next to each other in Azure ML studio.\n",
     "    experiment_name=\"train_model_credit_default_prediction\",\n",