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Cloudera Hadoop Administrator Certification Certification Questions and Answer (Dumps and Practice Questions)



Question : You have to use YARN frmaeowrk for Hadoop Cluster, for that you have to configure "mapreduce.framework.name"
in mapred-site.xml, which is the correct value for this property

: You have to use YARN frmaeowrk for Hadoop Cluster, for that you have to configure
1. mrv2
2. yarn
3. v2
4. No need to configure cdh5 by default on yarn



Correct Answer : 2


Explanation: mapreduce.framework.name mapred-site.xml If you plan on running YARN, you must set this property to the value of yarn.
Sample Configuration:
mapred-site.xml:
(property)
(name>mapreduce.framework.name(/nam)>
(value>yarn(/value)
(/property)






Question : Which of the following properties in the yarn-site.xml file, will specifies the URIs of the directories
where the NodeManager stores container log files.


: Which of the following properties in the yarn-site.xml file, will specifies the URIs of the directories
1. yarn.nodemanager.local-dirs
2. yarn.nodemanager.log-dirs
3. yarn.nodemanager.remote-app-log-dir
4. yarn.nodemanager.dirs



Correct Answer : 2


Explanation: yarn.nodemanager.local-dirs Specifies the URIs of the directories where the NodeManager stores its localized files. All of the files required for running a particular YARN application will be put here for the duration of the application run. Cloudera recommends that this property specify a directory on each of the JBOD mount points; for example, file:///data/1/yarn/local through /data/N/yarn/local.
yarn.nodemanager.log-dirs Specifies the URIs of the directories where the NodeManager stores container log files. Cloudera recommends that this property specify a directory on each of the JBOD mount points; for example, file:///data/1/yarn/logs through file:///data/N/yarn/logs.
yarn.nodemanager.remote-app-log-dir Specifies the URI of the directory where logs are aggregated. Set the value to hdfs://(namenode-host.company.com):8020/var/log/hadoop-yarn/apps,using the fully-qualified domain name of your NameNode host.







Question : . For YARN: conf/core-site.xml and conf/yarn-site.xml, respectively, have the IP addresses not the hostnames
of the NameNode, the ResourceManager, and the ResourceManager Scheduler

: . For YARN: conf/core-site.xml and conf/yarn-site.xml, respectively, have the IP addresses not the hostnames
1. True
2. False




Correct Answer : 2


Explanation: For YARN: make sure conf/core-site.xml and conf/yarn-site.xml, respectively, have the hostnames not the IP addresses of the NameNode, the ResourceManager, and the ResourceManager Scheduler


Related Questions

Question : Please map the following configuration in "yarn-site.xml" and mapred-site.xml

1. yarn.nodemanager.resource.memory-mb
2. yarn.scheduler.minimum-allocation-mb
3. mapreduce.reduce.memory.mb

A. RAM-per-container
B. containers * RAM-per-container
C. 2 * RAM-per-container

 : Please map the following configuration in
1. 1-A,2-B,3-C
2. 1-C,2-B,3-A
3. 1-B,2-A,3-C
4. 1-B, 2-C, 3-A


Question : If Cluster nodes have CPU cores, GB RAM, and disks, and HBase is also installed, then what should be Reserved Memory

 : If Cluster nodes have CPU cores, GB RAM, and disks, and HBase is also installed, then what should be Reserved Memory
1. 6 GB reserved for system memory + (if HBase) 8 GB for HBase
2. 4 GB reserved for system memory + (if HBase) 8 GB for HBase
3. 2 GB reserved for system memory + (if HBase) 8 GB for HBase
4. 12 GB reserved for system memory + (if HBase) 8 GB for HBase


Question : MapReduce runs on top of YARN and utilizes YARN Containers to schedule and execute its Map and Reduce tasks.
When configuring MapReduce resource utilization on YARN, which of the aspects to consider:


 : MapReduce runs on top of YARN and utilizes YARN Containers to schedule and execute its Map and Reduce tasks.
1. The physical RAM limit for each Map and Reduce task
2. The JVM heap size limit for each task.
3. The amount of virtual memory each task will receive.
4. 1 and 3
5. All 1,2 and 3



Question : In a YARN cluster definitions are as given in image.

What is the maximum amount of virtual memory allocated for each
map task before YARN will kill its Container?



 : In a YARN cluster definitions are as given in image.
1. 4 GB
2. 17.2 GB
3. 8.4 GB
4. 24.6 GB
5. 2 and 3



Question : Assuming you're not running HDFS Federation, what is the maximum number of NameNode daemons you
should run on your cluster in order to avoid a split-brain scenario with your NameNode when running HDFS
High Availability (HA) using Quorum-based storage?


 : Assuming you're not running HDFS Federation, what is the maximum number of NameNode daemons you
1. Two active NameNodes and two Standby NameNodes
2. One active NameNode and one Standby NameNode
3. Two active NameNodes and on Standby NameNode
4. Unlimited. HDFS High Availability (HA) is designed to overcome limitations on the number of NameNodes you can deploy



Question : When running with N JournalNodes, the system can tolerate at most _____ failures and continue to function normally.
 : When running with N JournalNodes, the system can tolerate at most _____ failures and continue to function normally.
1. N/2
2. (N - 1) / 2
3. (N + 1) / 2
4. (N - 2) / 2