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CCA-505 Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade Exam

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Cloudera · CCA-505

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Question 1

Single choice

Which process instantiates user code, and executes map and reduce tasks on a cluster running MapReduce V2 (MRv2) on YARN?

A
NodeManager
B
ApplicationMaster
C
ResourceManager
D
TaskTracker
E
JobTracker
F
DataNode
G
NameNode

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Correct answerE

Question 2

Multiple choice

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
Sample the web server logs web servers and copy them into HDFS using curl
B
Ingest the server web logs into HDFS using Flume
C
Import all users clicks from your OLTP databases into Hadoop using Sqoop
D
Write a MApReduce job with the web servers from mappers and the Hadoop cluster nodes reducers
E
Channel these clickstream into Hadoop using Hadoop Streaming

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Correct answersA, B

Question 3

Single choice

A slave node in your cluster has four 2TB hard drives installed (4 x 2TB). The DataNode is configured to store HDFS blocks on the disks. You set the value of the dfs.datanode.du.reserved parameter to 100GB.

How does this alter HDFS block storage?

A
A maximum of 100 GB on each hard drive may be used to store HDFS blocks
B
All hard drives may be used to store HDFS blocks as long as atleast 100 GB in total is available on the node
C
100 GB on each hard drive may not be used to store HDFS blocks
D
25 GB on each hard drive may not be used to store HDFS blocks

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Correct answerB

Question 4

Single choice

On a cluster running CDH 5.0 or above, you use the hadoop fs put command to write a 300MB file into a previously empty directory using an HDFS block of 64MB.
Just after this command has finished writing 200MB of this file, what would another use see when they look in the directory?

A
They will see the file with its original name. if they attempt to view the file, they will get a ConcurrentFileAccessException until the entire file write is completed on the cluster
B
They will see the file with a ._COPYING_extension on its name. If they attempt to view the file, they will get a ConcurrentFileAccessException until the entire file write is completed on the cluster.
C
They will see the file with a ._COPYING_ extension on its name. if they view the file, they will see contents of the file up to the last completed block (as each 64MB block is written, that block becomes available)
D
The directory will appear to be empty until the entire file write is completed on the cluster

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Correct answerC

Question 5

Single choice

Your Hadoop cluster is configured with HDFS and MapReduce version 2 (MRv2) on YARN.
Can you configure a worker node to run a NodeManager daemon but not a DataNode daemon and still have a function cluster?

A
Yes. The daemon will receive data from the NameNode to run Map tasks
B
Yes. The daemon will get data from another (non-local) DataNode to run Map tasks
C
Yes. The daemon will receive Reduce tasks only

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Correct answerA

Question 6

Single choice

Given:

You want to clean up this list by removing jobs where the state is KILLED.

What command you enter?

A
Yarn application kill application_1374638600275_0109
B
Yarn rmadmin refreshQueue
C
Yarn application refreshJobHistory
D
Yarn rmadmin kill application_1374638600275_0109

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Correct answerA

Question 7

Single choice

Each node in your Hadoop cluster, running YARN, has 64 GB memory and 24 cores. Your yarn-site.xml has the following configuration:

<property>
<name>yarn.nodemanager.resource.memory-mb</name>
<value>32768</value>
</property>
<property>
<name>yarn.nodemanager.resource.cpu-vcores</name>
<value>23</value>
</property>

You want YARN to launch no more than 16 containers per node.

What should you do?

A
No action is needed: YARN's dynamic resource allocation automatically optimizes the node memory and cores
B
Modify yarn-site.xml with the following property:
<name>yarn.nodemanager.resource.cpu-vcores</name>
<value>16</value>
C
Modify yarn-site.xml with the following property:
<name>yarn.scheduler.minimum-allocation-mb</name>
<value>2048</value>
D
Modify yarn-site.xml with the following property:
<name>yarn.scheduler.minimum-allocation-mb</name>
<value>4096</value>

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Correct answerB

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2	Multiple choice	1

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Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade Exam

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