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Free Cloudera CCA-500 Exam Actual Questions

Note: Premium Questions for CCA-500 were last updated On 22-04-2019 (see below)

Question #1

You have just run a MapReduce job to filter user messages to only those of a selected geographical region. The output for this job is in a directory named westUsers, located just below your home directory in HDFS. Which command gathers these into a single file on your local file system?

AHadoop fs --getmerge --R westUsers.txt

BHadoop fs --getemerge westUsers westUsers.txt

CHadoop fs --cp westUsers/* westUsers.txt

DHadoop fs --get westUsers westUsers.txt

Reveal Solution

Correct Answer: B

Question #2

In CDH4 and later, which file contains a serialized form of all the directory and files inodes in the filesystem, giving the NameNode a persistent checkpoint of the filesystem metadata?

Afstime

BVERSION

CFsimage_N (where N reflects transactions up to transaction ID N)

DEdits_N-M (where N-M transactions between transaction ID N and transaction ID N)

Reveal Solution

Correct Answer: C

http://mikepluta.com/tag/namenode/

Question #3

You are running a Hadoop cluster with a NameNode on host mynamenode. What are two ways to determine available HDFS space in your cluster?

ARun hdfs fs --du / and locate the DFS Remaining value

BRun hdfs dfsadmin --report and locate the DFS Remaining value

CRun hdfs dfs / and subtract NDFS Used from configured Capacity

DConnect to http://mynamenode:50070/dfshealth.jsp and locate the DFS remaining value

Reveal Solution

Correct Answer: C, D

Question #4

You have recently converted your Hadoop cluster from a MapReduce 1 (MRv1) architecture to MapReduce 2 (MRv2) on YARN architecture. Your developers are accustomed to specifying map and reduce tasks (resource allocation) tasks when they run jobs: A developer wants to know how specify to reduce tasks when a specific job runs. Which method should you tell that developers to implement?

AMapReduce 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.

BIn YARN, resource allocations is a function of megabytes of memory in multiples of 1024mb.
Thus, they should specify the amount of memory resource they need by executing --D mapreducereduces.
memory-mb-2048

CIn YARN, the ApplicationMaster is responsible for requesting the resource required for a
specific launch. Thus, executing --D yarn.applicationmaster.reduce.tasks=2 will specify that the
ApplicationMaster launch two task contains on the worker nodes.

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

EIn YARN, resource allocation is function of virtual cores specified by the ApplicationManager
making requests to the NodeManager where a reduce task is handeled by a single container (and
thus a single virtual core). Thus, the developer needs to specify the number of virtual cores to the
NodeManager by executing --p yarn.nodemanager.cpu-vcores=2

Reveal Solution

Correct Answer: D

Question #5

Your Hadoop cluster contains nodes in three racks. You have not configured the dfs.hosts property in the NameNode's configuration file. What results?

AThe NameNode will update the dfs.hosts property to include machines running the DataNode daemon on the next NameNode reboot or with the command dfsadmin --refreshNodes

BNo new nodes can be added to the cluster until you specify them in the dfs.hosts file

CAny machine running the DataNode daemon can immediately join the cluster

DPresented with a blank dfs.hosts property, the NameNode will permit DataNodes specified in mapred.hosts to join the cluster

Reveal Solution

Correct Answer: A

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Cloudera CCA-500 Exam Questions

Free Cloudera CCA-500 Exam Actual Questions

Note: Premium Questions for CCA-500 were last updated On 22-04-2019 (see below)