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

1. Assuming default settings, which best describes the order of data provided to a reducer's reduce method:

A) The keys given to a reducer are in sorted order but the values associated with each key are in no
predictable order
B) The keys given to a reducer aren't in a predictable order, but the values associated with those keys
always are.
C) Neither keys nor values are in any predictable order.
D) Both the keys and values passed to a reducer always appear in sorted order.

2. Examine the following Pig commands:

Which one of the following statements is true?

A) A random sample of approximately 20% of the data will be output
B) The SAMPLE command generates an "unexpected symbol" error
C) Each MapReduce task will terminate after executing for 0.2 minutes
D) The reducers will only output the first 20% of the data passed from the mappers

3. 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.

4. 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) Iterntive repetition of MapReduce jobs until a desired answer or state is reached.
C) Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with
exception handlers but no forks.
D) Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can
be combined with forks and path joins.

5. Which one of the following statements describes a Hive user-defined aggregate function?

A) Operates on multiple input rows and creates a single row as output
B) Operates on multiple input rows and produces a table as output
C) Operates on a single input row and produces a single row as output
D) Operates on a single input row and produces a table as output

Solutions: