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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

1. Which one of the following statements regarding the components of YARN is FALSE?

A) The ResourceManager monitors and restarts any failed Containers
B) A client application submits a YARW job to the ResourceManager
C) A Container executes a specific task as assigned by the ApplicationMaster
D) The ResourceManager is responsible for scheduling and allocating resources

2. Assuming the following Hive query executes successfully:

Which one of the following statements describes the result set?

A) An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the
inputdata table.
B) A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column
of the inputdata table.
C) A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input
data A1 table.
D) A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of
the inputdata table.

3. In a large MapReduce job with m mappers and n reducers, how many distinct copy operations will there
be in the sort/shuffle phase?

A) m+n (i.e., m plus n)
B) mn (i.e., m to the power of n)
C) n
D) mXn (i.e., m multiplied by n)
E) m

4. You have just executed a MapReduce job. Where is intermediate data written to after being emitted from
the Mapper's map method?

A) Intermediate data in streamed across the network from Mapper to the Reduce and is never written to
disk.
B) Into in-memory buffers that spill over to the local file system of the TaskTracker node running the
Mapper.
C) Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into
HDFS.
D) Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node
running the Reducer
E) Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into
HDFS.

5. Which HDFS command displays the contents of the file x in the user's HDFS home directory?

A) hadoop fs -Is x
B) hadoop fs -cat x
C) hadoop fs -cp x
D) hdfs fs -get x

Solutions: