CCA-505 試験問題を無料オンラインアクセス

Your cluster's mapped-site.xml includes the following parameters
<name>mapreduce.map.memory.mb</name>
<value>4096<value/>
<name>mapreduce.reduce.memory,mb</name>
<value>8192</value>
And your cluster's yarn-site.xml includes the following parameters
<name>yarn.nodemanager/vmen-pmem-ratio</name>
<value>2.1</value>
What is the maximum amount of virtual memory allocated for each map before YARN will kill its Container?

• A.17.2 GB
• B.24.6 GB
• C.8.2 GB
• D.4 GB

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

• A.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>
• B.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>
• C.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>
• D.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>
• E.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>
• F.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>

Your cluster implements HDFS High Availability (HA). Your two NameNodes are named nn01 and nn02. What occurs when you execute the command: hdfs haadmin -failover nn01 nn02

• A.nn02 is fenced, and nn01 becomes the active NameNode
• B.nn01 is fenced, and nn02 becomes the active NameNode
• C.nn01 becomes the standby NamNode and nn02 becomes the active NAmeNode
• D.nn02 becomes the standby NameNode and nn01 becomes the active NameNode

You are migrating a cluster from MapReduce version 1 (MRv1) to MapReduce version2 (MRv2) on YARN. To want to maintain your MRv1 TaskTracker slot capacities when you migrate. What should you do?

• A.Configure mapred.tasktracker.map.tasks.maximum and mapred.tasktracker.reduce.tasks.maximum ub yarn.site.xml to match your cluster's configured capacity set by yarn.scheduler.minimum-allocation
• B.Configure yarn.nodemanager.resource.memory-mb and yarn.nodemanager.resource.cpu-vcores to match the capacity you require under YARN for each NodeManager
• C.You don't need to configure or balance these properties in YARN as YARN dynamically balances resource management capabilities on your cluster
• D.Configure yarn.applicationmaster.resource.memory-mb and yarn.applicationmaster.cpuvcores so that ApplicationMaster container allocations match the capacity you require.

Which YARN daemon or service negotiates map and reduce Containers from the Scheduler, tracking their status and monitoring for progress?

• A.ResourceManager
• B.ApplicationMaster
• C.ApplicationManager
• D.NodeManager