CCA-505問題集、Cloudera実際の試験問題

質問 1

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

正解: C

解説: (PassTest メンバーにのみ表示されます)

質問 2

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

A. 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>

B. 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>

C. 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>

D. 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>

E. 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>

F. 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>

正解: B,E,F

質問 3

You are planning a Hadoop cluster and considering implementing 10 Gigabit Ethernet as the network fabric. Which workloads benefit the most from a faster network fabric?

A. When your workload generates a large amount of intermediate data, on the order of the input data itself

B. When workload consumers a large amount of input data, relative to the entire capacity of HDFS

C. When your workload consists of processor-intensive tasks

D. When your workload generates a large amount of output data, significantly larger than amount of intermediate data

正解: A

質問 4

You are working on a project where you need to chain together MapReduce, Pig jobs. You also needs the ability to use forks, decision, and path joins. Which ecosystem project should you use to perform these actions?

A. Oozie

B. Zookeeper

C. HBase

D. HUE

E. Sqoop

正解: A

質問 5

You want to understand more about how users browse you public website. For example, you want to know which pages they visit prior to placing an order. You have a server farm of 200 web servers hosting your website. Which is the most efficient process to gather these web server logs into your Hadoop cluster for analysis?

A. Channel these clickstream into Hadoop using Hadoop Streaming

B. Write a MApReduce job with the web servers from mappers and the Hadoop cluster nodes reducers

C. Import all users clicks from your OLTP databases into Hadoop using Sqoop

D. Sample the web server logs web servers and copy them into HDFS using curl

E. Ingest the server web logs into HDFS using Flume

正解: D,E

Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade - CCA-505 模擬練習