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Hortonworks HDP Certified Developer HADOOP-PR000007

HADOOP-PR000007

Exam Code: HADOOP-PR000007

Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)

Updated: Jul 14, 2026

Q & A: 110 Questions and Answers

HADOOP-PR000007 Free Demo download:

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

1. What does the following command do? register '/piggyban):/pig-files.jar';

A) Assigns a name to a user-defined function or streaming command
B) Specifies the location of the JAR file containing the user-defined functions
C) Invokes the user-defined functions contained in the jar file
D) Transforms Pig user-defined functions into a format that Hive can accept


2. Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the
two tables are formatted as comma-separated files in HDFS.

A) No, but it can be done with either Pig or Hive.
B) Yes, but only if one of the tables fits into memory
C) Yes, so long as both tables fit into memory.
D) No, MapReduce cannot perform relational operations.
E) Yes.


3. You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys,
IntWritable values. Which interface should your class implement?

A) Mapper <Text, IntWritable, Text, IntWritable>
B) Combiner <Text, IntWritable, Text, IntWritable>
C) Reducer <Text, Text, IntWritable, IntWritable>
D) Reducer <Text, IntWritable, Text, IntWritable>
E) Combiner <Text, Text, IntWritable, IntWritable>


4. The Hadoop framework provides a mechanism for coping with machine issues such as faulty
configuration or impending hardware failure. MapReduce detects that one or a number of machines are
performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and
the task finish first are used. This is called:

A) IdentityReducer
B) Speculative Execution
C) Default Partitioner
D) Combine
E) IdentityMapper


5. Your cluster's HDFS block size in 64MB. You have directory containing 100 plain text files, each of which
is 100MB in size. The InputFormat for your job is TextInputFormat. Determine how many Mappers will
run?

A) 200
B) 640
C) 100
D) 64


Solutions:

Question # 1
Answer: B
Question # 2
Answer: E
Question # 3
Answer: D
Question # 4
Answer: B
Question # 5
Answer: A

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