diff --git a/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala b/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
index 1fa799190409f7f1d236d2c9574f0c7d943d7b04..e05fbfe32149506024044bc71aec000b7cd3fff1 100644
--- a/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
@@ -79,20 +79,23 @@ object SparkSubmit {
       printErrorAndExit("master must start with yarn, mesos, spark, or local")
     }
 
-    // Because "yarn-standalone" and "yarn-client" encapsulate both the master
+    // Because "yarn-cluster" and "yarn-client" encapsulate both the master
     // and deploy mode, we have some logic to infer the master and deploy mode
     // from each other if only one is specified, or exit early if they are at odds.
-    if (appArgs.deployMode == null && appArgs.master == "yarn-standalone") {
+    if (appArgs.deployMode == null &&
+        (appArgs.master == "yarn-standalone" || appArgs.master == "yarn-cluster")) {
       appArgs.deployMode = "cluster"
     }
     if (appArgs.deployMode == "cluster" && appArgs.master == "yarn-client") {
       printErrorAndExit("Deploy mode \"cluster\" and master \"yarn-client\" are not compatible")
     }
-    if (appArgs.deployMode == "client" && appArgs.master == "yarn-standalone") {
-      printErrorAndExit("Deploy mode \"client\" and master \"yarn-standalone\" are not compatible")
+    if (appArgs.deployMode == "client" &&
+        (appArgs.master == "yarn-standalone" || appArgs.master == "yarn-cluster")) {
+      printErrorAndExit("Deploy mode \"client\" and master \"" + appArgs.master
+        + "\" are not compatible")
     }
     if (appArgs.deployMode == "cluster" && appArgs.master.startsWith("yarn")) {
-      appArgs.master = "yarn-standalone"
+      appArgs.master = "yarn-cluster"
     }
     if (appArgs.deployMode != "cluster" && appArgs.master.startsWith("yarn")) {
       appArgs.master = "yarn-client"
diff --git a/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala b/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala
index 9c8f54ea6f77a4579b5af3f89eca1378f5ea5c60..834b3df2f164ba76aa2c1cbf607f7cbb37cbf843 100644
--- a/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala
@@ -171,7 +171,7 @@ private[spark] class SparkSubmitArguments(args: Array[String]) {
       outStream.println("Unknown/unsupported param " + unknownParam)
     }
     outStream.println(
-      """Usage: spark-submit <primary binary> [options]
+      """Usage: spark-submit <app jar> [options]
         |Options:
         |  --master MASTER_URL         spark://host:port, mesos://host:port, yarn, or local.
         |  --deploy-mode DEPLOY_MODE   Mode to deploy the app in, either 'client' or 'cluster'.
diff --git a/docs/cluster-overview.md b/docs/cluster-overview.md
index b69e3416fb322c0f53c944fd3ed31753f04e0395..7f75ea44e4ceac3ac7c3b76a67c371354375a86b 100644
--- a/docs/cluster-overview.md
+++ b/docs/cluster-overview.md
@@ -56,7 +56,7 @@ The recommended way to launch a compiled Spark application is through the spark-
 bin directory), which takes care of setting up the classpath with Spark and its dependencies, as well as
 provides a layer over the different cluster managers and deploy modes that Spark supports.  It's usage is
 
-  spark-submit `<jar>` `<options>`
+  spark-submit `<app jar>` `<options>`
 
 Where options are any of: