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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

1. Given the following Hive command:
INSERT OVERWRITE TABLE mytable SELECT * FROM myothertable;
Which one of the following statements is true?

A) The contents of myothertable are appended to mytable
B) A new table named mytable is created, and the contents of myothertable are copied into mytable
C) The statement is not a valid Hive command
D) Any existing data in mytable will be overwritten

2. The Hadoop framework provides a mechanism for coping with machine issues such as faulty
configuration or impending hardware failure. MapReduce detects that one or a number of machines are
performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and
the task finish first are used. This is called:

A) IdentityReducer
B) IdentityMapper
C) Default Partitioner
D) Speculative Execution
E) Combine

3. Given the following Pig commands:

Which one of the following statements is true?

A) The $1 variable represents the first column of data in 'my.log'
B) The grouped relation is not valid
C) The severe relation is not valid
D) The $1 variable represents the second column of data in 'my.log'

4. Given the following Pig command:
logevents = LOAD 'input/my.log' AS (date:chararray, levehstring, code:int, message:string);
Which one of the following statements is true?

A) The logevents relation represents the data from the my.log file, using a comma as the parsing delimiter
B) The first field of logevents must be a properly-formatted date string or table return an error
C) The statement is not a valid Pig command
D) The logevents relation represents the data from the my.log file, using a tab as the parsing delimiter

5. Examine the following Hive statements:

Assuming the statements above execute successfully, which one of the following statements is true?

A) The file named File1 is moved to to/user/joe/x/
B) The contents of File1 are parsed as comma-delimited rows and stored in a database
C) Hive reformats File1 into a structure that Hive can access and moves into to/user/joe/x/
D) The contents of File1 are parsed as comma-delimited rows and loaded into /user/joe/x/

Solutions: