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NO.1 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.2 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.3 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.4
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.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 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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