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

1. The Hadoop framework provides a mechanism for coping with machine issues such as faulty configuration or impending hardware failure. MapReduce detects that one or a number of machines are performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and the task finish first are used. This is called:

A) Combine
B) IdentityMapper
C) Speculative Execution
D) IdentityReducer
E) Default Partitioner

2. MapReduce v2 (MRv2/YARN) is designed to address which two issues?

A) Resource pressure on the JobTracker.
B) Standardize on a single MapReduce API.
C) Ability to run frameworks other than MapReduce, such as MPI.
D) HDFS latency.
E) Single point of failure in the NameNode.
F) Reduce complexity of the MapReduce APIs.

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

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

4. A NameNode in Hadoop 2.0 manages ______________.

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

5. Which one of the following Hive commands uses an HCatalog table named x?

A) SELECT x.-FROM org.apache.hcatalog.hive.HCatLoader('x');
B) Hive commands cannot reference an HCatalog table
C) SELECT * FROM x;
D) SELECT * FROM org.apache.hcatalog.hive.HCatLoader('x');

Solutions: