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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

Question 1

You want to count the number of occurrences for each unique word in the supplied input data. You've
decided to implement this by having your mapper tokenize each word and emit a literal value 1, and then
have your reducer increment a counter for each literal 1 it receives. After successful implementing this, it
occurs to you that you could optimize this by specifying a combiner. Will you be able to reuse your
existing Reduces as your combiner in this case and why or why not?

A. No, because the sum operation in the reducer is incompatible with the operation of a Combiner.
B. Yes, because the sum operation is both associative and commutative and the input and output types to
the reduce method match.
C. No, because the Combiner is incompatible with a mapper which doesn't use the same data type for
both the key and value.
D. No, because the Reducer and Combiner are separate interfaces.
E. Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as
a combiner.

Question 2

A NameNode in Hadoop 2.0 manages ______________.

A. No namespaces
B. An arbitrary number of namespaces
C. Two namespaces: an active namespace and a backup namespace
D. A single namespace

Question 3

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 registers with all the NameNodes.
B. DataNodes send periodic heartbeats to all the NameNodes.
C. DataNodes send periodic block reports to all the NameNodes.
D. Each DataNode receives commands from one designated master NameNode.

Question 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 will be marked as corrupted if data node B fails during the creation of the file.
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.

Question 5

Analyze each scenario below and indentify which best describes the behavior of the default partitioner?

A. The default partitioner computes the hash of the key and divides that valule modulo the number of
reducers. The result determines the reducer assigned to process the key-value pair.
B. The default partitioner computes the hash of the key. Hash values between specific ranges are
associated with different buckets, and each bucket is assigned to a specific reducer.
C. The default partitioner implements a round-robin strategy, shuffling the key-value pairs to each reducer
in turn. This ensures an event partition of the key space.
D. The default partitioner assigns key-values pairs to reduces based on an internal random number
generator.
E. The default partitioner computes the hash of the value and takes the mod of that value with the number
of reducers. The result determines the reducer assigned to process the key-value pair.

Solutions: