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

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

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

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

3. Which two of the following statements are true about Pig's approach toward data? Choose 2 answers

A) Accepts only data that has a key/value pair structure
B) Accepts data whether it has metadata or not
C) Accepts tab-delimited text data only
D) Accepts any data: structured or unstructured
E) Accepts only data that is defined by metadata tables stored in a database

4. Which YARN component is responsible for monitoring the success or failure of a Container?

A) JobTracker
B) ResourceManager
C) NodeManager
D) ApplicationMaster

5. You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs with the key consisting of the matching text, and the value containing the filename and byte offset. Determine the difference between setting the number of reduces to one and settings the number of reducers to zero.

A) With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of matching patterns are stored in a single file on HDFS.
B) With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With one reducer, instances of matching patterns are stored in multiple files on HDFS.
C) With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one reducer, all instances of matching patterns are gathered together in one file on HDFS.
D) There is no difference in output between the two settings.

Solutions: