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

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

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

2. How are keys and values presented and passed to the reducers during a standard sort and shuffle phase of MapReduce?

A) Keys are presented to reducer in sorted order; values for a given key are sorted in ascending order.
B) Keys are presented to reducer in sorted order; values for a given key are not sorted.
C) Keys are presented to a reducer in random order; values for a given key are not sorted.
D) Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.

3. Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and
monitoring application resource usage?

A) ResourceManager
B) NodeManager
C) ApplicationMaster
D) JobTracker
E) TaskTracker
F) ApplicationMasterService

4. What does Pig provide to the overall Hadoop solution?

A) C++ interface to MapReduce and data warehouse infrastructure
B) Database table and storage management services
C) Simple scripting language for writing MapReduce programs
D) Legacy language Integration with MapReduce framework

5. Consider the following two relations, A and B.

A Pig JOIN statement that combined relations A by its first field and B by its second field would produce
what output?

A) 2 cherry 2 cherry 3 orange 4 peach
B) 2 cherry Jim 2 2 cherry Chris 2 3 orange Terry 3 4 peach Brian 4
C) 2 Jim Chris 2 3 Terry 3 4 Brian 4
D) 2 cherry Jim, Chris 3 orange Terry 4 peach Brian

Solutions: