Hadoop-PR000007 - Hortonworks Certified Apache Hadoop 2.0 Developer (Pig and Hive Developer) Real Exam Questions by Killexams.com


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**** SAMPLE Hortonworks Certified Apache Hadoop 2.0 Developer (Pig and Hive Developer) 2021 Dumps ****

Which one of the following statements is FALSE regarding the communication between
DataNodes and a federation of NameNodes in Hadoop 2.0?
A. Each DataNode receives commands from one designated master NameNode.
B. DataNodes send periodic heartbeats to all the NameNodes.
C. Each DataNode registers with all the NameNodes.
D. DataNodes send periodic block reports to all the NameNodes.
Answer: A
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. The file will be marked as corrupted if data node B fails during the creation of the
B. Each data node locks the local file to prohibit concurrent readers and writers of the
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 can be accessed if at least one of the data nodes storing the file is available.
Answer: D
Examine the following Hive statements:
Assuming the statements above execute successfully, which one of the following
statements is true?
A. Each reducer generates a file sorted by age
B. The SORT BY command causes only one reducer to be used
C. The output of each reducer is only the age column
D. The output is guaranteed to be a single file with all the data sorted by age
Answer: A
When can a reduce class also serve as a combiner without affecting the output of a
MapReduce program?
A. When the types of the reduce operation�s input key and input value match the types
of the reducer�s output key and output value and when the reduce operation is both
communicative and associative.
B. When the signature of the reduce method matches the signature of the combine
C. Always. Code can be reused in Java since it is a polymorphic object-oriented
programming language.
D. Always. The point of a combiner is to serve as a mini-reducer directly after the map
phase to increase performance.
E. Never. Combiners and reducers must be implemented separately because they serve
different purposes.
Answer: A
You want to run Hadoop jobs on your development workstation for testing before you
submit them to your production cluster. Which mode of operation in Hadoop allows you
to most closely simulate a production cluster while using a single machine?
A. Run all the nodes in your production cluster as virtual machines on your development
B. Run the hadoop command with the �jt local and the �fs file:///options.
C. Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single
D. Run simldooop, the Apache open-source software for simulating Hadoop clusters.
Answer: C
Which one of the following files is required in every Oozie Workflow application?
A. job.properties
B. Config-default.xml
C. Workflow.xml
D. Oozie.xml
Answer: C
Workflows expressed in Oozie can contain:
A. Sequences of MapReduce and Pig. These sequences can be combined with other
actions including forks, decision points, and path joins.
B. Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce
sequences can be combined with forks and path joins.
C. Sequences of MapReduce and Pig jobs. These are limited to linear sequences of
actions with exception handlers but no forks.
D. Iterntive repetition of MapReduce jobs until a desired answer or state is reached.
Answer: A
Which best describes what the map method accepts and emits?
A. It accepts a single key-value pair as input and emits a single key and list of
corresponding values as output.
B. It accepts a single key-value pairs as input and can emit only one key-value pair as
C. It accepts a list key-value pairs as input and can emit only one key-value pair as
D. It accepts a single key-value pairs as input and can emit any number of key-value pair
as output, including zero.
Answer: D
Which HDFS command copies an HDFS file named foo to the local filesystem as
A. hadoop fs -get foo LocalFoo
B. hadoop -cp foo LocalFoo
C. hadoop fs -Is foo
D. hadoop fs -put foo LocalFoo
Answer: A
Identify the tool best suited to import a portion of a relational database every day as files
into HDFS, and generate Java classes to interact with that imported data?
A. Oozie
B. Flume
C. Pig
D. Hue
E. Hive
F. Sqoop
G. fuse-dfs
Answer: F


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