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

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

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

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

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

3. Examine the following Hive statements:

Assuming the statements above execute successfully, which one of the following statements is true?

A) The output is guaranteed to be a single file with all the data sorted by age
B) The output of each reducer is only the age column
C) The SORT BY command causes only one reducer to be used
D) Each reducer generates a file sorted by age

4. Assuming default settings, which best describes the order of data provided to a reducer's reduce method:

A) The keys given to a reducer are in sorted order but the values associated with each key are in no predictable order
B) Neither keys nor values are in any predictable order.
C) Both the keys and values passed to a reducer always appear in sorted order.
D) The keys given to a reducer aren't in a predictable order, but the values associated with those keys always are.

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

A) 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.
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) 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.

Solutions: