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Sample Questions:

QUESTION 1:

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

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

Answer: D

QUESTION 2:


A user comes to you, complaining that when she attempts to submit a Hadoop job, it fails. There is
a Directory in HDFS named /data/input. The Jar is named j.jar, and the driver class is named
DriverClass.
She runs the command:
Hadoop jar j.jar DriverClass /data/input/data/output
The error message returned includes the line:
PriviligedActionException as:training (auth:SIMPLE)
cause:org.apache.hadoop.mapreduce.lib.input.invalidInputException:
Input path does not exist: file:/data/input
What is the cause of the error?

A. The user is not authorized to run the job on the cluster
B. The output directory already exists
C. The name of the driver has been spelled incorrectly on the command line
D. The directory name is misspelled in HDFS
E. The Hadoop configuration files on the client do not point to the cluster

Answer: A

QUESTION 3:


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

A. When your workload generates a large amount of output data, significantly larger than the
amount of intermediate data
B. When your workload consumes a large amount of input data, relative to the entire capacity if
HDFS
C. When your workload consists of processor-intensive tasks
D. When your workload generates a large amount of intermediate data, on the order of the input
data itself

Answer: A

QUESTION 4:


Which three basic configuration parameters must you set to migrate your cluster from MapReduce
1 (MRv1) to MapReduce V2 (MRv2)?

A. Configure the NodeManager to enable MapReduce services on YARN by setting the following
property in yarn-site.xml:
<name>yarn.nodemanager.hostname</name>
<value>your_nodeManager_shuffle</value>
B. Configure the NodeManager hostname and enable node 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 mapredsite.
xml:
<name>mapreduce.jobtracker.taskScheduler</name>
<Value>org.apache.hadoop.mapred.JobQueueTaskScheduler</value>
D. Configure the number of map tasks per jon YARN by setting the following property in mapred:
<name>mapreduce.job.maps</name>
<value>2</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_resourceManager_hostname</value>
Cloudera CCA-500 Exam
F. 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>

Answer: A,B,D

QUESTION 5:


You suspect that your NameNode is incorrectly configured, and is swapping memory to disk.
Which Linux commands help you to identify whether swapping is occurring?

A. free
B. df
C. memcat
D. top
E. jps
F. vmstat
G. swapinfo

Answer: A,D,F

Reference:


http://www.cyberciti.biz/faq/linux-check-swap-usage-command/

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