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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

1. MapReduce v2 (MRv2/YARN) is designed to address which two issues?

A) HDFS latency.
B) Reduce complexity of the MapReduce APIs.
C) Resource pressure on the JobTracker.
D) Single point of failure in the NameNode.
E) Standardize on a single MapReduce API.
F) Ability to run frameworks other than MapReduce, such as MPI.

2. Review the following 'data' file and Pig code.

Which one of the following statements is true?

A) The output of the dump d command is (M, {(38,95in),(62,95i02)})
B) The code executes successfully but there is not output because the D relation is empty
C) The Output Of the DUMP D command IS (M,{(M,62.95102),(M,38,95111)})
D) The code does not execute successfully because D is not a valid relation

3. To use a lava user-defined function (UDF) with Pig what must you do?

A) Define an alias to shorten the function name
B) Register the JAR file containing the UDF
C) Pass arguments to the constructor of UDFs implementation class
D) Put the JAR file into the user's home folder in HDFS

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

A) There are no concerns with this approach. It is always advisable to use multiple reduces.
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) You will longer be able to take advantage of a Combiner.

5. What types of algorithms are difficult to express in MapReduce v1 (MRv1)?

A) Algorithms that require global, sharing states.
B) Relational operations on large amounts of structured and semi-structured data.
C) Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
D) Large-scale graph algorithms that require one-step link traversal.
E) Algorithms that require applying the same mathematical function to large numbers of individual binary
records.

Solutions: