diff --git a/how-to-use-azureml/automated-machine-learning/automl_env.yml b/how-to-use-azureml/automated-machine-learning/automl_env.yml
index 010866e7..f1da6ce1 100644
--- a/how-to-use-azureml/automated-machine-learning/automl_env.yml
+++ b/how-to-use-azureml/automated-machine-learning/automl_env.yml
@@ -20,12 +20,12 @@ dependencies:
 - pip:
   # Required packages for AzureML execution, history, and data preparation.
   - azureml-defaults
-  - azureml-dataprep[pandas]
   - azureml-train-automl
   - azureml-train
   - azureml-widgets
   - azureml-pipeline
   - pytorch-transformers==1.0.0
   - spacy==2.1.8
+  - pyarrow==0.17.0
   - https://aka.ms/automl-resources/packages/en_core_web_sm-2.1.0.tar.gz
 
diff --git a/how-to-use-azureml/automated-machine-learning/automl_env_mac.yml b/how-to-use-azureml/automated-machine-learning/automl_env_mac.yml
index 9e404adb..7f086895 100644
--- a/how-to-use-azureml/automated-machine-learning/automl_env_mac.yml
+++ b/how-to-use-azureml/automated-machine-learning/automl_env_mac.yml
@@ -21,11 +21,11 @@ dependencies:
 - pip:
   # Required packages for AzureML execution, history, and data preparation.
   - azureml-defaults
-  - azureml-dataprep[pandas]
   - azureml-train-automl
   - azureml-train
   - azureml-widgets
   - azureml-pipeline
   - pytorch-transformers==1.0.0
   - spacy==2.1.8
+  - pyarrow==0.17.0
   - https://aka.ms/automl-resources/packages/en_core_web_sm-2.1.0.tar.gz  
diff --git a/how-to-use-azureml/training/train-on-amlcompute/train-on-amlcompute.ipynb b/how-to-use-azureml/training/train-on-amlcompute/train-on-amlcompute.ipynb
index abe2830f..7bca43b7 100644
--- a/how-to-use-azureml/training/train-on-amlcompute/train-on-amlcompute.ipynb
+++ b/how-to-use-azureml/training/train-on-amlcompute/train-on-amlcompute.ipynb
@@ -335,7 +335,7 @@
         "                                                           admin_user_ssh_key='<my-sshkey>',\n",
         "                                                           remote_login_port_public_access='enabled',\n",
         "                                                           identity_type='UserAssigned',\n",
-        "                                                           identity_id='<user-assigned-identity-id>')\n",
+        "                                                           identity_id=['<resource-id1>'])\n",
         "    cpu_cluster = ComputeTarget.create(ws, cpu_cluster_name, compute_config)\n",
         "\n",
         "cpu_cluster.wait_for_completion(show_output=True)"