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Exam Code: CCD-410
Exam Name: Cloudera Certified Developer for Apache Hadoop (CCDH)
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Exam Code: CCA-500
Exam Name: Cloudera Certified Administrator for Apache Hadoop (CCAH)
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Exam Code: DS-200
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NO.1 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. yarn.application.child.java.opts=-Xsx3072m
B. yarn.application.child.java.opts=-Xmx3072m
C. mapreduce.map.java.opts=-Xms3072m
D. mapreduce.map.java.opts=-Xmx3072m
Answer: C

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

NO.2 Which YARN daemon or service monitors a Controller's per-application resource using (e.g.,
memory CPU)?
A. ApplicationMaster
B. NodeManager
C. ApplicationManagerService
D. ResourceManager
Answer: A

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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. Oozie
B. ZooKeeper
C. HBase
D. Sqoop
E. HUE
Answer: A

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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 node running the Job's ApplicationMaster so that
it is available to YARN ShuffleService before the data is presented to the Reducer
B. 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
C. The Mapper transfers the intermediate data immediately to the reducers as it is generated by the
Map Task
D. YARN holds the intermediate data in the NodeManager's memory (a container) until it is
transferred to the Reducer
E. The Mapper stores the intermediate data on the underlying filesystem of the local disk in the
directories yarn.nodemanager.locak-DIFS
Answer: E

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NO.5 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. Complexity Fair Scheduler (CFS)
B. Capacity Scheduler
C. Fair Scheduler
D. FIFO Scheduler
Answer: C

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

NO.6 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 with Hadoop streaming
B. Ingest using Hive's IQAD DATA command
C. Ingest with sqoop import
D. Ingest with Pig's LOAD command
E. Ingest using the HDFS put command
Answer: C

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