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

1. Which one of the following statements is FALSE regarding the communication between DataNodes and a
federation of NameNodes in Hadoop 2.0?

A) Each DataNode registers with all the NameNodes.
B) DataNodes send periodic heartbeats to all the NameNodes.
C) DataNodes send periodic block reports to all the NameNodes.
D) Each DataNode receives commands from one designated master NameNode.

2. Given a directory of files with the following structure:
line number, tab character, string:
Example:
1 abialkjfjkaoasdfjksdlkjhqweroij
2 kadfjhuwqounahagtnbvaswslmnbfgy
3 kjfteiomndscxeqalkzhtopedkfsikj
You want to send each line as one record to your Mapper. Which InputFormat should you use to complete
the line: conf.setInputFormat (____.class) ; ?

A) BDBInputFormat
B) SequenceFileAsTextInputFormat
C) KeyValueFileInputFormat
D) SequenceFileInputFormat

3. 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

4. In a MapReduce job, you want each of your input files processed by a single map task. How do you
configure a MapReduce job so that a single map task processes each input file regardless of how many
blocks the input file occupies?

A) Set the number of mappers equal to the number of input files you want to process.
B) Write a custom FileInputFormat and override the method isSplitable to always return false.
C) Write a custom MapRunner that iterates over all key-value pairs in the entire file.
D) Increase the parameter that controls minimum split size in the job configuration.

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

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

Solutions: