You are the hadoop fs -put command to add a file "sales.txt" to HDFS. This file is small enough that it fits into a single block, which is replicated to three nodes in your cluster (with a replication factor of 3). One of the nodes holding this file (a single block) fails. How will the cluster handle the replication of this file in this situation/

• A. The file will be re-replicated automatically after the NameNode determines it is under replicated based on the block reports it receives from the DataNodes
• B. The cluster will re-replicate the file the next time the system administrator reboots the NameNode daemon (as long as the file's replication doesn't fall two)
• C. The file will remain under-replicated until the administrator brings that nodes back online
• D. This file will be immediately re-replicated and all other HDFS operations on the cluster will halt until the cluster's replication values are restored

You are configuring your cluster to run HDFS and MapReduce v2 (MRv2) on YARN. Which daemons need to be installed on your clusters master nodes? (Choose Two)

• A. ResourceManager
• B. TaskTracker
• C. DataNode
• D. JobTracker
• E. NameNode
• F. HMaster

Which three basic configuration parameters must you set to migrate your cluster from MapReduce1 (MRv1) to MapReduce v2 (MRv2)?

• A. Configure MapReduce as a framework running on YARN by setting the following
  property in mapred-site.xml:
  <name>mapreduce.framework.name</name>
  <value>yarn</value>
• B. Configure a default scheduler to run on YARN by setting the following property in
  sapred-site.xml:
  <name>mapreduce.jobtracker.taskScheduler</name>
  <value>org.apache.hadoop.mapred.JobQueueTaskScheduler</value>
• C. Configure the ResourceManager hostname and enable node services on YARN by
  setting the following property in yarn-site.xml:
  <name>yarn.resourcemanager.hostname</name>
  <value>your_responseManager_hostname</value>
• D. Configure the number of map tasks per job on YARN by setting the following property in
  mapred-site.xml:
  <name>mapreduce.job.maps</name>
  <value>2</value>
• E. Configure the NodeManager to enable MapReduce services on YARN by adding
  following property in yarn-site.xml:
  <name>yarn.nodemanager.aux-services</name>
  <value>mapreduce_shuffle</value>
• F. Configure the NodeManager hostname and enable services on YARN by setting the
  following property in yarn-site.xml:
  <name>yarn.nodemanager.hostname</name>
  <value>your_nodeManager_hostname</value>

During the execution of a MapReduce v2 (MRv2) job on YARN, where does the Mapper place the intermediate data each Map task?

• A. The Mapper stores the intermediate data on the mode running the job's ApplicationMaster so that is available to YARN's ShuffleService before the data is presented to the Reducer
• B. The Mapper transfers the intermediate data immediately to the Reducers as it generated by the Map task
• C. YARN holds the intermediate data in the NodeManager's memory (a container) until it is transferred to the Reducers
• D. The Mapper stores the intermediate data on the underlying filesystem of the local disk in the directories yarn.nodemanager.local-dirs
• E. The Mapper stores the intermediate data in HDFS on the node where the MAP tasks ran in the HDFS /usercache/&[user]sppcache/application_&(appid) directory for the user who ran the job