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CCA-500 bootcamp Practice TestExam Code: CCA-500 bootcamp
Exam Name: Cloudera Certified Administrator for Apache Hadoop (CCAH)
One year free update, No help, Full refund!
CCA-500 bootcamp Real Exams Total Q&A: 60 Questions and Answers
Last Update: 12-27,2015

CCA-500 bootcamp Free download Detail : CCA-500 bootcamp Real Exams

NO.1 Which YARN daemon or service monitors a Controller's per-application resource using (e.g.,
memory CPU)?
A. ResourceManager
B. NodeManager
C. ApplicationMaster
D. ApplicationManagerService
Answer: C

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NO.2 Which scheduler would you deploy to ensure that your cluster allows short jobs to finish within
a reasonable time without starting long-running jobs?
A. Fair Scheduler
B. Complexity Fair Scheduler (CFS)
C. Capacity Scheduler
D. FIFO Scheduler
Answer: A

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Reference: http://hadoop.apache.org/docs/r1.2.1/fair_scheduler.html

NO.3 You are working on a project where you need to chain together MapReduce, Pig jobs. You also
need the ability to use forks, decision points, and path joins. Which ecosystem project should you use
to perform these actions?
A. HBase
B. HUE
C. Oozie
D. ZooKeeper
E. Sqoop
Answer: C

NO.4 During the execution of a MapReduce v2 (MRv2) job on YARN, where does the Mapper place
the intermediate data of each Map Task?
A. The Mapper stores the intermediate data on the underlying filesystem of the local disk in the
directories yarn.nodemanager.locak-DIFS
B. The Mapper transfers the intermediate data immediately to the reducers as it is generated by the
Map Task
C. YARN holds the intermediate data in the NodeManager's memory (a container) until it is
transferred to the Reducer
D. The Mapper stores the intermediate data on the node running the Job's ApplicationMaster so that
it is available to YARN ShuffleService before the data is presented to the Reducer
E. The Mapper stores the intermediate data in HDFS on the node where the Map tasks ran in the
HDFS /usercache/&(user)/apache/application_&(appid) directory for the user who ran the job
Answer: A

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NO.5 Your company stores user profile records in an OLTP databases. You want to join these records
with web server logs you have already ingested into the Hadoop file system. What is the best way to
obtain and ingest these user records?
A. Ingest using the HDFS put command
B. Ingest using Hive's IQAD DATA command
C. Ingest with Hadoop streaming
D. Ingest with sqoop import
E. Ingest with Pig's LOAD command
Answer: D

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NO.6 You are running a Hadoop cluster with MapReduce version 2 (MRv2) on YARN. You consistently
see that MapReduce map tasks on your cluster are running slowly because of excessive garbage
collection of JVM, how do you increase JVM heap size property to 3GB to optimize performance?
A. mapreduce.map.java.opts=-Xmx3072m
B. yarn.application.child.java.opts=-Xmx3072m
C. mapreduce.map.java.opts=-Xms3072m
D. yarn.application.child.java.opts=-Xsx3072m
Answer: C

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Reference: http://hortonworks.com/blog/how-to-plan-and-configure-yarn-in-hdp-2-0/

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Posted 2015/12/28 10:06:29  |  Category: Cloudera  |  Tag: CCA-500CCA-500 bootcampCCA-500 bootcamp Real Exams
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