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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) Be a subclass of FileInputFormat.
B) Implement a comparator for speedy sorting.
C) Implement WritableComparable.
D) Override isSplitable.
E) Implement a splittable compression algorithm.

2. What does Pig provide to the overall Hadoop solution?

A) Simple scripting language for writing MapReduce programs
B) C++ interface to MapReduce and data warehouse infrastructure
C) Database table and storage management services
D) Legacy language Integration with MapReduce framework

3. Review the following 'data' file and Pig code.

Which one of the following statements is true?

A) The code executes successfully but there is not output because the D relation is empty
B) The output of the dump d command is (M, {(38,95in),(62,95i02)})
C) The code does not execute successfully because D is not a valid relation
D) The Output Of the DUMP D command IS (M,{(M,62.95102),(M,38,95111)})

4. Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and generate Java classes to interact with that imported data?

A) Sqoop
B) Flume
C) Hue
D) fuse-dfs
E) Oozie
F) Hive
G) Pig

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

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

Solutions: