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

1. Which one of the following files is required in every Oozie Workflow application?

A) Workflow.xml
B) Config-default.xml
C) job.properties
D) Oozie.xml

2. Examine the following Pig commands:

Which one of the following statements is true?

A) The SAMPLE command generates an "unexpected symbol" error
B) The reducers will only output the first 20% of the data passed from the mappers
C) A random sample of approximately 20% of the data will be output
D) Each MapReduce task will terminate after executing for 0.2 minutes

3. In a MapReduce job, the reducer receives all values associated with same key. Which statement best
describes the ordering of these values?

A) The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the
same ordering.
B) The values are in sorted order.
C) Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted
values.
D) The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce
job.

4. Which one of the following Hive commands uses an HCatalog table named x?

A) SELECT * FROM x;
B) Hive commands cannot reference an HCatalog table
C) SELECT x.-FROM org.apache.hcatalog.hive.HCatLoader('x');
D) SELECT * FROM org.apache.hcatalog.hive.HCatLoader('x');

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

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

Solutions: