diff --git a/docs/job-scheduling.md b/docs/job-scheduling.md
index f44ed8245e286..f8ffd0c170f1c 100644
--- a/docs/job-scheduling.md
+++ b/docs/job-scheduling.md
@@ -191,6 +191,9 @@ of cluster resources. This means that short jobs submitted while a long job is r
 resources right away and still get good response times, without waiting for the long job to finish. This
 mode is best for multi-user settings.
 
+This feature is disabled by default and available on all coarse-grained cluster managers, i.e.
+[standalone mode](spark-standalone.html), [YARN mode](running-on-yarn.html),
+[K8s mode](running-on-kubernetes.html) and [Mesos coarse-grained mode](running-on-mesos.html#mesos-run-modes).
 To enable the fair scheduler, simply set the `spark.scheduler.mode` property to `FAIR` when configuring
 a SparkContext: