Setup is as follows

Hadoop Cluster 2.3.0 (CDH5.0)
- Namenode HA
- Resource manager HA
- Secured with Kerberos

Spark 1.2 

Run SparkPi as follows
- conf/spark-defaults.conf has following entries
spark.yarn.queue myqueue
spark.yarn.access.namenodes hdfs://namespace (remember this is namenode HA)
- Do kinit with some user keytab
- submit SparkPi as follows
spark-submit --class org.apache.spark.examples.SparkPi --master yarn-client --num-executors 3 --driver-memory 4g --executor-memory 2g --executor-cores 1 --queue thequeue $MY_SPARK_DIR/lib/spark-examples*.jar 10

Gives following trace (not sure why it shows unknown queue when queue name is specified in the spark-defaults.conf above.

15/01/15 19:18:27 INFO impl.YarnClientImpl: Submitted application application_1415648563285_31469
15/01/15 19:18:28 INFO yarn.Client: Application report for application_1415648563285_31469 (state: FAILED)
15/01/15 19:18:28 INFO yarn.Client:
client token: N/A
diagnostics: Application application_1415648563285_31469 submitted by user XYZ to unknown queue: thequeue <<--- WHY UNKNOWN QUEUE ???
ApplicationMaster host: N/A
ApplicationMaster RPC port: -1
queue: thequeue   <<--- WHY UNKNOWN QUEUE ???
start time: 1421349507652
final status: FAILED
tracking URL: N/A
user: XYZ
Exception in thread "main" org.apache.spark.SparkException: Yarn application has already ended! It might have been killed or unable to launch application master.
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:102)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:58)