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

1. Which best describes how TextInputFormat processes input files and line breaks?

A) Input file splits may cross line breaks. A line that crosses file splits is ignored.
B) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of both splits containing the broken line.
C) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the beginning of the broken line.
D) The input file is split exactly at the line breaks, so each RecordReader will read a series of complete lines.
E) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the end of the broken line.

2. Which one of the following statements is true about a Hive-managed table?

A) When the table is dropped, the underlying folder in HDFS is deleted.
B) Records can only be added to the table using the Hive INSERT command.
C) Hive dynamically defines the schema of the table based on the format of the underlying data.
D) Hive dynamically defines the schema of the table based on the FROM clause of a SELECT query.

3. When is the earliest point at which the reduce method of a given Reducer can be called?

A) As soon as a mapper has emitted at least one record.
B) It depends on the InputFormat used for the job.
C) Not until all mappers have finished processing all records.
D) As soon as at least one mapper has finished processing its input split.

4. Which one of the following statements describes a Pig bag. tuple, and map, respectively?

A) Ordered set of fields, ordered collection of tuples, ordered collection of maps
B) Ordered collection of maps, ordered collection of bags, and unordered set of key/value pairs
C) Unordered collection of tuples, ordered set of fields, set of key value pairs
D) Unordered collection of maps, ordered collection of tuples, ordered set of key/value pairs

5. A combiner reduces:

A) The number of values across different keys in the iterator supplied to a single reduce method call.
B) The number of output files a reducer must produce.
C) The amount of intermediate data that must be transferred between the mapper and reducer.
D) The number of input files a mapper must process.

Solutions: