docs: refer to workflows.ipynb in faq.ipynb about pre-computed data s…

…lices/clusters

docs/source/tutorials/faq.ipynb

@@ -718,11 +718,10 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "When detecting underperforming groups in a dataset, Datalab provides the option for passing pre-computed\n",
-    "cluster IDs to `find_issues`. These cluster IDs can be obtained by grouping\n",
-    "the features using any clustering algorithm of your choice (E.g.  K-Means, DBSCAN, HDBSCAN etc). By default, Datalab will detect the underperforming group using the DBSCAN clustering algorithm.\n",
+    "The instructions for specifying pre-computed data slices/clusters when detecting underperforming groups in a dataset are now covered in detail in the Datalab workflows tutorial.\n",
     "\n",
-    "Below is sample code on how to generate cluster IDs and pass them to `find_issues`: "
+    "- [Using clustering algorithms](./datalab/workflows.html#Find-Underperforming-Groups-in-a-Dataset).\n",
+    "- [Using categorical columns in a tabular dataset](./datalab/workflows.html#Predefining-Data-Slices-for-Detecting-Underperforming-Groups)."
    ]
   },
   {