Hortonworks Apache-Hadoop-Developer : Hadoop 2.0 Certification exam for Pig and Hive Developer

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

Question #1
Which one of the following classes would a Pig command use to store data in a table defined in HCatalog?

A. org.apache.hcatalog.pig.HCatStorer
B. org.apache.hcatalog.pig.HCatOutputFormat
C. No special class is needed for a Pig script to store data in an HCatalog table
D. Pig scripts cannot use an HCatalog table

Question #2
In the reducer, the MapReduce API provides you with an iterator over Writable values. What does calling the next () method return?

A. It returns a reference to a Writable object. The API leaves unspecified whether this is a reused object or a new object.
B. It returns a reference to a different Writable object time.
C. It returns a reference to the same Writable object if the next value is the same as the previous value, or a new Writable object otherwise.
D. It returns a reference to a Writable object from an object pool.
E. It returns a reference to the same Writable object each time, but populated with different data.

Question #3
In a MapReduce job with 500 map tasks, how many map task attempts will there be?

A. At least 500.
B. Exactly 500.
C. At most 500.
D. Between 500 and 1000.
E. It depends on the number of reduces in the job.

Question #4
You have just executed a MapReduce job. Where is intermediate data written to after being emitted from the Mapper's map method?

A. Intermediate data in streamed across the network from Mapper to the Reduce and is never written to disk.
B. Into in-memory buffers that spill over to the local file system of the TaskTracker node running the Mapper.
C. Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into HDFS.
D. Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node running the Reducer
E. Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into HDFS.

Question #5
Assuming default settings, which best describes the order of data provided to a reducer's reduce method:

A. The keys given to a reducer aren't in a predictable order, but the values associated with those keys always are.
B. Both the keys and values passed to a reducer always appear in sorted order.
C. The keys given to a reducer are in sorted order but the values associated with each key are in no predictable order
D. Neither keys nor values are in any predictable order.

Solutions: