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

1. Which describes how a client reads a file from HDFS?

A) The client contacts the NameNode for the block location(s). The NameNode contacts the DataNode
that holds the requested data block. Data is transferred from the DataNode to the NameNode, and then
from the NameNode to the client.
B) The client queries the NameNode for the block location(s). The NameNode returns the block location(s)
to the client. The client reads the data directory off the DataNode(s).
C) The client contacts the NameNode for the block location(s). The NameNode then queries the
DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode redirects
the client to the DataNode that holds the requested data block(s). The client then reads the data directly
off the DataNode.
D) The client queries all DataNodes in parallel. The DataNode that contains the requested data responds
directly to the client. The client reads the data directly off the DataNode.

2. Given the following Hive command:

Which one of the following statements is true?

A) The files in the mydata folder are moved to a subfolder of /apps/hive/wa re house
B) The files in the mydata folder are copied to a subfolder of /apps/hlve/warehouse
C) The files in the mydata folder do not move from their current location In HDFS
D) The files in the mydata folder are copied into Hive's underlying relational database

3. Assuming the following Hive query executes successfully:

Which one of the following statements describes the result set?

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

4. You need to run the same job many times with minor variations. Rather than hardcoding all job
configuration options in your drive code, you've decided to have your Driver subclass
org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?

A) hadoop MyDriver mapred.job.name=Example input output
B) hadoop MyDrive -D mapred.job.name=Example input output
C) hadoop "mapred.job.name=Example" MyDriver input output
D) hadoop setproperty ("mapred.job.name=Example") MyDriver input output
E) hadoop setproperty mapred.job.name=Example MyDriver input output

5. When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?

A) Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
B) Never. Combiners and reducers must be implemented separately because they serve different purposes.
C) 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.
D) When the signature of the reduce method matches the signature of the combine method.
E) Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.

Solutions: