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Hortonworks HADOOP-PR000007 valid - in .pdf

HADOOP-PR000007 pdf
  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Q & A: 110 Questions and Answers
  • PDF Price: $49.99
  • Free Demo

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  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Q & A: 110 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
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  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Q & A: 110 Questions and Answers
  • Software Price: $49.99
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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

1. What does the following command do? register '/piggyban):/pig-files.jar';

A) Transforms Pig user-defined functions into a format that Hive can accept
B) Invokes the user-defined functions contained in the jar file
C) Specifies the location of the JAR file containing the user-defined functions
D) Assigns a name to a user-defined function or streaming command


2. Which project gives you a distributed, Scalable, data store that allows you random, realtime read/write
access to hundreds of terabytes of data?

A) HBase
B) Pig
C) Hue
D) Oozie
E) Flume
F) Sqoop
G) Hive


3. Which one of the following files is required in every Oozie Workflow application?

A) Workflow.xml
B) job.properties
C) Config-default.xml
D) Oozie.xml


4. A client application creates an HDFS file named foo.txt with a replication factor of 3. Identify which best
describes the file access rules in HDFS if the file has a single block that is stored on data nodes A, B and
C?

A) Each data node locks the local file to prohibit concurrent readers and writers of the file.
B) The file can be accessed if at least one of the data nodes storing the file is available.
C) Each data node stores a copy of the file in the local file system with the same name as the HDFS file.
D) The file will be marked as corrupted if data node B fails during the creation of the file.


5. What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your
workload across you cluster?

A) You will longer be able to take advantage of a Combiner.
B) There are no concerns with this approach. It is always advisable to use multiple reduces.
C) By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted
order.
D) You will not be able to compress the intermediate data.


Solutions:

Question # 1
Answer: C
Question # 2
Answer: A
Question # 3
Answer: A
Question # 4
Answer: B
Question # 5
Answer: C

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