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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
1. All keys used for intermediate output from mappers must:
A) Implement a splittable compression algorithm.
B) Implement WritableComparable.
C) Implement a comparator for speedy sorting.
D) Override isSplitable.
E) Be a subclass of FileInputFormat.
2. Given a directory of files with the following structure: line number, tab character, string:
Example:
1abialkjfjkaoasdfjksdlkjhqweroij
2kadfjhuwqounahagtnbvaswslmnbfgy
3kjfteiomndscxeqalkzhtopedkfsikj
You want to send each line as one record to your Mapper. Which InputFormat should you use to complete the line: conf.setInputFormat (____.class) ; ?
A) SequenceFileInputFormat
B) KeyValueFileInputFormat
C) SequenceFileAsTextInputFormat
D) BDBInputFormat
3. Which Hadoop component is responsible for managing the distributed file system metadata?
A) DataNode
B) NameSpaceManager
C) Metanode
D) NameNode
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) Yes.
B) Yes, so long as both tables fit into memory.
C) No, but it can be done with either Pig or Hive.
D) Yes, but only if one of the tables fits into memory
E) No, MapReduce cannot perform relational operations.
5. 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) Ingest with Flume agents
C) Hive LOAD DATA command
D) HDFS command
E) Pig LOAD command
F) Sqoop import
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: F |






