problem with yarn from ambari dashboard

[#1]

what could be the reason that yarn memory is very high?

any suggestion to verify this?

we have this value from ambari

yarn.scheduler.capacity.root.default.user-limit-factor=1

yarn.scheduler.minimum-allocation-mb=11776

yarn.scheduler.maximum-allocation-mb=122880

yarn.nodemanager.resource.memory-mb=120G

 /usr/bin/yarn application -list -appStates RUNNING | grep  RUNNING


  Thrift JDBC/ODBC Server                SPARK          hive         default                 RUNNING               UNDEFINED                  10%              
  Thrift JDBC/ODBC Server                SPARK          hive         default                 RUNNING               UNDEFINED                  10%           
  mcMFM                                  SPARK          hdfs         default                 RUNNING               UNDEFINED                  10%             
  mcMassRepo                             SPARK          hdfs         default                 RUNNING               UNDEFINED                  10%           
  mcMassProfiling                        SPARK          hdfs         default                 RUNNING               UNDEFINED




free -g
              total        used        free      shared  buff/cache   available
Mem:             31          24           0           1           6           5
Swap:             7           0           7

[#2]

Jay not in this issue , but I will happy to get tour answer about my quastion from - https://community.hortonworks.com/questions/142356/how-to-recover-the-standby-name-node-in-ambari-cl...