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

1. You want to perform analysis on a large collection of images. You want to store this data in HDFS and
process it with MapReduce but you also want to give your data analysts and data scientists the ability to
process the data directly from HDFS with an interpreted high-level programming language like Python.
Which format should you use to store this data in HDFS?

A) XML
B) SequenceFiles
C) JSON
D) HTML
E) Avro
F) CSV

2. What are the TWO main components of the YARN ResourceManager process? Choose 2 answers

A) Job Tracker
B) Scheduler
C) Task Tracker
D) Applications Manager

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

4. You need to move a file titled "weblogs" into HDFS. When you try to copy the file, you can't. You know you
have ample space on your DataNodes. Which action should you take to relieve this situation and store
more files in HDFS?

A) Increase the number of disks (or size) for the NameNode.
B) Increase the block size on your remaining files.
C) Decrease the block size on all current files in HDFS.
D) Decrease the block size on your remaining files.
E) Increase the block size on all current files in HDFS.
F) Increase the amount of memory for the NameNode.

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

Solutions: