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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. What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your workload across you cluster?

A) You will longer be able to take advantage of a Combiner.
B) You will not be able to compress the intermediate data.
C) By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted order.
D) There are no concerns with this approach. It is always advisable to use multiple reduces.

2. 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 programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.
B) 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.
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.

3. Indentify which best defines a SequenceFile?

A) A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.
B) A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous Writable objects
C) A SequenceFile contains a binary encoding of an arbitrary number of homogeneous Writable objects
D) A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be the same type. Each value must be the same type.

4. You wrote a map function that throws a runtime exception when it encounters a control character in input data. The input supplied to your mapper contains twelve such characters totals, spread across five file splits. The first four file splits each have two control characters and the last split has four control characters.
Indentify the number of failed task attempts you can expect when you run the job with mapred.max.map.attempts set to 4:

A) You will have twenty failed task attempts
B) You will have five failed task attempts
C) You will have twelve failed task attempts
D) You will have seventeen failed task attempts
E) You will have forty-eight failed task attempts

5. You need to run the same job many times with minor variations. Rather than hardcoding all job configuration options in your drive code, you've decided to have your Driver subclass org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?

A) hadoop setproperty ("mapred.job.name=Example") MyDriver input output
B) hadoop MyDriver mapred.job.name=Example input output
C) hadoop setproperty mapred.job.name=Example MyDriver input output
D) hadoop "mapred.job.name=Example" MyDriver input output
E) hadoop MyDrive -D mapred.job.name=Example input output

Solutions: