Removing step to archive anonymous model on triton deployment (Azure#1997)

* Remove archiving model step

No need to archive an anonymous model registered by the system. Eventually, this action will trigger an error given it is a stage transition not allowed.

* Removing archive model step

No need to archive an anonymous model registered by the system. Eventually, this action will trigger an error given it is a stage transition not allowed.

* Update online-endpoints-triton-cc.ipynb

* Update online-endpoints-triton.ipynb

Author: hugoaponte

sdk/python/endpoints/online/custom-container/triton/online-endpoints-triton-cc.ipynb

@@ -535,27 +535,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### 7.1 Get model name and version"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "deployment = ml_client.online_deployments.get(name=\"blue\", endpoint_name=endpoint_name)\n",
-    "\n",
-    "model_uri = deployment.model.split(\"/\")\n",
-    "model_name = model_uri[-3]\n",
-    "model_version = model_uri[-1]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 7.2 Delete the endpoint"
+    "### 7.1 Delete the endpoint and underlying deployment"
    ]
   },
   {
@@ -568,22 +548,6 @@
    "source": [
     "ml_client.online_endpoints.begin_delete(name=endpoint_name)"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 7.3 Archive the model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ml_client.models.archive(name=model_name, version=model_version)"
-   ]
   }
  ],
  "metadata": {

sdk/python/endpoints/online/triton/single-model/online-endpoints-triton.ipynb

@@ -422,27 +422,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### 6.1 Get model name and version"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "deployment = ml_client.online_deployments.get(name=\"blue\", endpoint_name=endpoint_name)\n",
-    "\n",
-    "model_uri = deployment.model.split(\"/\")\n",
-    "model_name = model_uri[-3]\n",
-    "model_version = model_uri[-1]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 6.2 Delete the endpoint"
+    "### 6.1 Delete the endpoint and underlying deployment"
    ]
   },
   {
@@ -455,22 +435,6 @@
    "source": [
     "ml_client.online_endpoints.begin_delete(name=endpoint_name)"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 6.3 Archive the model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ml_client.models.archive(name=model_name, version=model_version)"
-   ]
   }
  ],
  "metadata": {