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

1. Which HDFS command copies an HDFS file named foo to the local filesystem as localFoo?

A) hadoop fs -get foo LocalFoo
B) hadoop fs -put foo LocalFoo
C) hadoop -cp foo LocalFoo
D) hadoop fs -Is foo

2. 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) Set the number of mappers equal to the number of input files you want to process.
C) Write a custom MapRunner that iterates over all key-value pairs in the entire file.
D) Write a custom FileInputFormat and override the method isSplitable to always return false.

3. Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and
generate Java classes to interact with that imported data?

A) fuse-dfs
B) Flume
C) Pig
D) Oozie
E) Sqoop
F) Hue
G) Hive

4. Analyze each scenario below and indentify which best describes the behavior of the default partitioner?

A) The default partitioner computes the hash of the key and divides that valule modulo the number of
reducers. The result determines the reducer assigned to process the key-value pair.
B) The default partitioner computes the hash of the key. Hash values between specific ranges are
associated with different buckets, and each bucket is assigned to a specific reducer.
C) The default partitioner implements a round-robin strategy, shuffling the key-value pairs to each reducer
in turn. This ensures an event partition of the key space.
D) The default partitioner assigns key-values pairs to reduces based on an internal random number
generator.
E) The default partitioner computes the hash of the value and takes the mod of that value with the number
of reducers. The result determines the reducer assigned to process the key-value pair.

5. You want to run Hadoop jobs on your development workstation for testing before you submit them to your
production cluster. Which mode of operation in Hadoop allows you to most closely simulate a production
cluster while using a single machine?

A) Run simldooop, the Apache open-source software for simulating Hadoop clusters.
B) Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.
C) Run all the nodes in your production cluster as virtual machines on your development workstation.
D) Run the hadoop command with the -jt local and the -fs file:///options.

Solutions: