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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. To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the best way to accomplish this?

A) Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.
B) Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
C) Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
D) Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.

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

3. In Hadoop 2.0, which one of the following statements is true about a standby NameNode?
The Standby NameNode:

A) Runs on the same machine and shares the memory of the active NameNode.
B) Communicates directly with the active NameNode to maintain the state of the active NameNode.
C) Receives the same block reports as the active NameNode.
D) Processes all client requests and block reports from the appropriate DataNodes.

4. Consider the following two relations, A and B.

Which Pig statement combines A by its first field and B by its second field?

A) C = JOIN A SO, B $1;
B) C = JOIN A by al, B by b2;
C) C = DOIN B BY a1, A by b2;
D) C = JOIN A a1, B b2;

5. Determine which best describes when the reduce method is first called in a MapReduce job?

A) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called as soon as the intermediate key-value pairs start to arrive.
B) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.
C) Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs.
D) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called only after all intermediate data has been copied and sorted.

Solutions: