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最新的 CCAH CCA-505 免費考試真題:

1. 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) NameNode
B) HMaster
C) DataNode
D) JobTracker
E) ResourceManager
F) TaskTracker

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

A) 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>
B) 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>
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 MapReduce as a framework running on YARN by setting the following
property in mapred-site.xml:
<name>mapreduce.framework.name</name>
<value>yarn</value>
F) 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>

3. Assuming a cluster running HDFS, MapReduce version 2 (MRv2) on YARN with all settings at their default, what do you need to do when adding a new slave node to a cluster?

A) Restart the NameNode and ResourceManager deamons and resubmit any running jobs
B) Add a new entry to /etc/nodes on the NameNode host.
C) Nothing, other than ensuring that DNS (or /etc/hosts files on all machines) contains am entry for the new node.
D) Increase the value of dfs.number.of.needs in hdfs-site.xml
E) Restart the NameNode daemon.

4. Identify two features/issues that YARN is designed to address:

A) Standardize on a single MapReduce API
B) Single point of failure in the NameNode
C) Reduce complexity of the MapReduce APIs
D) Ability to run frameworks other than MapReduce, such as MPI
E) Resource pressures on the JobTracker
F) HDFS latency

問題與答案：