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

1. You have user profile records in your OLPT database, that you want to join with web logs you have
already ingested into the Hadoop file system. How will you obtain these user records?

A) Ingest with Hadoop Streaming
B) Hive LOAD DATA command
C) Ingest with Flume agents
D) Sqoop import
E) HDFS command
F) Pig LOAD command

2. Determine which best describes when the reduce method is first called in a MapReduce job?

A) Reduce methods and map methods all start at the beginning of a job, in order to provide optimal
performance for map-only or reduce-only jobs.
B) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The programmer can configure in the job what percentage of the intermediate data should arrive before
the reduce method begins.
C) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The reduce method is called only after all intermediate data has been copied and sorted.
D) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The reduce method is called as soon as the intermediate key-value pairs start to arrive.

3. In a MapReduce job, the reducer receives all values associated with same key. Which statement best
describes the ordering of these values?

A) Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted
values.
B) The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the
same ordering.
C) The values are in sorted order.
D) The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce
job.

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

5. Which Hadoop component is responsible for managing the distributed file system metadata?

A) DataNode
B) NameNode
C) NameSpaceManager
D) Metanode

Solutions: