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

1. You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs with the key consisting of the matching text, and the value containing the filename and byte offset. Determine the difference between setting the number of reduces to one and settings the number of reducers to zero.

A) There is no difference in output between the two settings.
B) With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With one reducer, instances of matching patterns are stored in multiple files on HDFS.
C) With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of matching patterns are stored in a single file on HDFS.
D) With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one reducer, all instances of matching patterns are gathered together in one file on HDFS.

2. You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys, IntWritable values. Which interface should your class implement?

A) Mapper <Text, IntWritable, Text, IntWritable>
B) Combiner <Text, IntWritable, Text, IntWritable>
C) Combiner <Text, Text, IntWritable, IntWritable>
D) Reducer <Text, IntWritable, Text, IntWritable>
E) Reducer <Text, Text, IntWritable, IntWritable>

3. Which TWO of the following statements are true regarding Hive? Choose 2 answers

A) Is a relational database
B) Offers real-time queries and row level updates
C) Useful for data analysts familiar with SQL who need to do ad-hoc queries
D) Allows you to define a structure for your unstructured Big Data

4. Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the two tables are formatted as comma-separated files in HDFS.

A) No, MapReduce cannot perform relational operations.
B) No, but it can be done with either Pig or Hive.
C) Yes, so long as both tables fit into memory.
D) Yes.
E) Yes, but only if one of the tables fits into memory

5. You are developing a MapReduce job for sales reporting. The mapper will process input keys representing the year (IntWritable) and input values representing product indentifies (Text).
Indentify what determines the data types used by the Mapper for a given job.

A) The data types specified in HADOOP_MAP_DATATYPES environment variable
B) The mapper-specification.xml file submitted with the job determine the mapper's input key and value types.
C) The InputFormat used by the job determines the mapper's input key and value types.
D) The key and value types specified in the JobConf.setMapInputKeyClass and JobConf.setMapInputValuesClass methods

Solutions: