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

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

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

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

4. Which one of the following statements describes the relationship between the ResourceManager and the
ApplicationMaster?

A) The ApplicationMaster starts a single instance of the ResourceManager
B) The ResourceManager monitors and restarts any failed Containers of the ApplicationMaster
C) The ApplicationMaster requests resources from the ResourceManager
D) The ApplicationMaster starts an instance of the ResourceManager within each Container

5. To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the
best way to accomplish this?

A) Place the data file in the DataCache and read the data into memory in the configure method of the
mapper.
B) Place the data file in the DistributedCache and read the data into memory in the map method of the
mapper.
C) Place the data file in the DistributedCache and read the data into memory in the configure method of
the mapper.
D) Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure
method of the mapper.

Solutions: