最新的Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade - CCA-505免費考試真題

A. They may be formatted in any Linux filesystem

B. They must be formatted as HDFS

C. They must be formatted as either ext3 or ext4

D. They must not formatted - - HDFS will format the filesystem automatically

A. In YARN, resource allocation is a function of virtual cores specified by the ApplicationMaster making requests to the NodeManager where a reduce task is handled by a single container (and this a single virtual core). Thus, the developer needs to specify the number of virtual cores to the NodeManager by executing -p yarn.nodemanager.cpuvcores=2

B. In YARN, resource allocation is a function of megabytes of memory in multiple of 1024mb. Thus, they should specify the amount of memory resource they need by executing -D mapreduce.reduce.memory-mp-2040

C. In YARN, the ApplicationMaster is responsible for requesting the resources required for a specific job. Thus, executing -p yarn.applicationmaster.reduce.tasks-2 will specify that the ApplicationMaster launch two task containers on the worker nodes.

D. Developers specify reduce tasks in the exact same way for both MapReduce version 1 (MRv1) and MapReduce version 2 (MRv2) on YARN. Thus, executing -p mapreduce.job.reduce-2 will specify 2 reduce tasks.

E. MapReduce version 2 (MRv2) on YARN abstracts resource allocation away from the idea of "tasks" into memory and virtual cores, thus eliminating the need for a developer to specify the number of reduce tasks, and indeed preventing the developer from specifying the number of reduce tasks.

A. The file is uploaded and stored as a plain named input

B. You get a warning that foo.txt is being overwritten

C. The write silently fails

D. You get a error message telling you that foo.txt already exists. The file is not written to HDFS

E. You get an error message telling you that input is not a directory

F. You get an error message telling you that foo.txt already exists, and asking you if you would like to overwrite

G. The write succeeds, overwriting foo.txt in HDFS with no warning

A. You must modify the configuration files on the NameNode only. DataNodes read their configuration from the master nodes.

B. You don't need to restart any daemon, as they will pick up changes automatically

C. You must modify the configuration file on each of the six DataNode machines.

D. You must restart all six DatNode daemon to apply the changes to the cluste

E. You must restart the NameNode daemon to apply the changes to the cluster

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 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>

D. 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>

E. 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>

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>