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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

1. Which one of the following statements describes a Pig bag. tuple, and map, respectively?

A) Unordered collection of maps, ordered collection of tuples, ordered set of key/value pairs
B) Ordered collection of maps, ordered collection of bags, and unordered set of key/value pairs
C) Ordered set of fields, ordered collection of tuples, ordered collection of maps
D) Unordered collection of tuples, ordered set of fields, set of key value pairs

2. Which process describes the lifecycle of a Mapper?

A) The TaskTracker spawns a new Mapper to process all records in a single input split.
B) The JobTracker spawns a new Mapper to process all records in a single file.
C) The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.
D) The TaskTracker spawns a new Mapper to process each key-value pair.

3. What types of algorithms are difficult to express in MapReduce v1 (MRv1)?

A) Algorithms that require global, sharing states.
B) Large-scale graph algorithms that require one-step link traversal.
C) Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
D) Relational operations on large amounts of structured and semi-structured data.
E) Algorithms that require applying the same mathematical function to large numbers of individual binary records.

4. Workflows expressed in Oozie can contain:

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

5. What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your workload across you cluster?

A) By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted order.
B) You will longer be able to take advantage of a Combiner.
C) You will not be able to compress the intermediate data.
D) There are no concerns with this approach. It is always advisable to use multiple reduces.

Solutions: