diff --git a/docs/running-on-yarn.md b/docs/running-on-yarn.md
index dfe2db4b3fce8..16897dbb65311 100644
--- a/docs/running-on-yarn.md
+++ b/docs/running-on-yarn.md
@@ -30,7 +30,7 @@ Most of the configs are the same for Spark on YARN as for other deployment modes
 </tr>
 <tr>
   <td><code>spark.yarn.submit.file.replication</code></td>
-  <td>3</td>
+  <td>The default HDFS replication (usually 3)</td>
   <td>
     HDFS replication level for the files uploaded into HDFS for the application. These include things like the Spark jar, the app jar, and any distributed cache files/archives.
   </td>
@@ -91,6 +91,13 @@ Most of the configs are the same for Spark on YARN as for other deployment modes
     The amount of off heap memory (in megabytes) to be allocated per driver. This is memory that accounts for things like VM overheads, interned strings, other native overheads, etc. This tends to grow with the container size (typically 6-10%).
   </td>
 </tr>
+<tr>
+  <td><code>spark.yarn.queue</code></td>
+  <td>default</td>
+  <td>
+    The name of the YARN queue to which the application is submitted.
+  </td>
+</tr>
 <tr>
   <td><code>spark.yarn.jar</code></td>
   <td>(none)</td>