diff --git a/docs-samples/data-science/data-science-tutorial/1-ingest-data.ipynb b/docs-samples/data-science/data-science-tutorial/1-ingest-data.ipynb
index 4725eb45..f1c28362 100644
--- a/docs-samples/data-science/data-science-tutorial/1-ingest-data.ipynb
+++ b/docs-samples/data-science/data-science-tutorial/1-ingest-data.ipynb
@@ -163,7 +163,7 @@
     "# Using synapse blob, this can be done in one line\n",
     "\n",
     "# Download demo data files into lakehouse if not exist\n",
-    "    remote_url = \"https://synapseaisolutionsa.blob.core.windows.net/public/bankcustomerchurn\"\n",
+    "    remote_url = \"https://synapseaisolutionsa.z13.web.core.windows.net/data/bankcustomerchurn\"\n",
     "    file_list = [DATA_FILE]\n",
     "    download_path = f\"{DATA_ROOT}/{DATA_FOLDER}/raw\"\n",
     "\n",
diff --git a/docs-samples/data-science/data-science-tutorial/3-train-evaluate.ipynb b/docs-samples/data-science/data-science-tutorial/3-train-evaluate.ipynb
index 71d48c18..4c437e22 100644
--- a/docs-samples/data-science/data-science-tutorial/3-train-evaluate.ipynb
+++ b/docs-samples/data-science/data-science-tutorial/3-train-evaluate.ipynb
@@ -95,7 +95,10 @@
    "source": [
     "import pandas as pd\n",
     "SEED = 12345\n",
-    "df_clean = spark.read.format(\"delta\").load(\"Tables/df_clean\").toPandas()"
+    "df_clean = spark.read.format(\"delta\").load(\"Tables/df_clean\").toPandas()\n",
+    "# Cast the label column to type int to ensure compatibility on inference\n",
+    "df_clean[\"Exited\"] = df_clean[\"Exited\"].astype(\"int\")\n",
+    "display(df_clean)"
    ]
   },
   {