問題1
You are working on a project where you need to chain together MapReduce, Pig jobs. You also need the ability to use
forks, decision points, and path joins. Which ecosystem project should you use to perform these actions?
You are working on a project where you need to chain together MapReduce, Pig jobs. You also need the ability to use
forks, decision points, and path joins. Which ecosystem project should you use to perform these actions?
正確答案: D
問題2
Your Hadoop cluster contains nodes in three racks. You have not configured the dfs.hosts property in the NameNode's
configuration file. What results?
Your Hadoop cluster contains nodes in three racks. You have not configured the dfs.hosts property in the NameNode's
configuration file. What results?
正確答案: A
問題3
Your cluster's mapred-start.xml includes the following parameters
<name>mapreduce.map.memory.mb</name>
<value>4096</value>
<name>mapreduce.reduce.memory.mb</name>
<value>8192</value>
And any cluster's yarn-site.xml includes the following parameters
<name>yarn.nodemanager.vmen-pmen-ration</name>
<value>2.1</value>
What is the maximum amount of virtual memory allocated for each map task before YARN will kill its Container?
Your cluster's mapred-start.xml includes the following parameters
<name>mapreduce.map.memory.mb</name>
<value>4096</value>
<name>mapreduce.reduce.memory.mb</name>
<value>8192</value>
And any cluster's yarn-site.xml includes the following parameters
<name>yarn.nodemanager.vmen-pmen-ration</name>
<value>2.1</value>
What is the maximum amount of virtual memory allocated for each map task before YARN will kill its Container?
正確答案: E
問題4
In CDH4 and later, which file contains a serialized form of all the directory and files inodes in the filesystem, giving the
NameNode a persistent checkpoint of the filesystem metadata?
In CDH4 and later, which file contains a serialized form of all the directory and files inodes in the filesystem, giving the
NameNode a persistent checkpoint of the filesystem metadata?
正確答案: A
說明：（僅 NewDumps 成員可見）
問題5
You are running a Hadoop cluster with MapReduce version 2 (MRv2) on YARN. You consistently see that MapReduce
map tasks on your cluster are running slowly because of excessive garbage collection of JVM, how do you increase
JVM heap size property to 3GB to optimize performance?
You are running a Hadoop cluster with MapReduce version 2 (MRv2) on YARN. You consistently see that MapReduce
map tasks on your cluster are running slowly because of excessive garbage collection of JVM, how do you increase
JVM heap size property to 3GB to optimize performance?
正確答案: A
說明：（僅 NewDumps 成員可見）
問題6
You are configuring a server running HDFS, MapReduce version 2 (MRv2) on YARN running Linux. How must you
format underlying file system of each DataNode?
You are configuring a server running HDFS, MapReduce version 2 (MRv2) on YARN running Linux. How must you
format underlying file system of each DataNode?
正確答案: C