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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

1. Assuming the following Hive query executes successfully:

Which one of the following statements describes the result set?

A) A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input data A1 table.
B) An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the inputdata table.
C) A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of the inputdata table.
D) A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column of the inputdata table.

2. For each intermediate key, each reducer task can emit:

A) One final key-value pair per value associated with the key; no restrictions on the type.
B) As many final key-value pairs as desired, as long as all the keys have the same type and all the values have the same type.
C) As many final key-value pairs as desired, but they must have the same type as the intermediate key-value pairs.
D) As many final key-value pairs as desired. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
E) One final key-value pair per key; no restrictions on the type.

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

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

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

5. 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 read by the RecordReader of the split that contains the beginning of the broken line.
B) 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.
C) 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.
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 ignored.

Solutions: