Hortonworks HADOOP-PR000007 Dumps : Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)

HADOOP-PR000007 real exams

Exam Code: HADOOP-PR000007

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

Updated: Aug 31, 2025

Q & A: 110 Questions and Answers

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

1. For each intermediate key, each reducer task can emit:

A) As many final key-value pairs as desired, as long as all the keys have the same type and all the values
have the same type.
B) One final key-value pair per value associated with the key; no restrictions on the type.
C) As many final key-value pairs as desired. There are no restrictions on the types of those key-value
pairs (i.e., they can be heterogeneous).
D) One final key-value pair per key; no restrictions on the type.
E) As many final key-value pairs as desired, but they must have the same type as the intermediate
key-value pairs.


2. Examine the following Hive statements:

Assuming the statements above execute successfully, which one of the following statements is true?

A) The output is guaranteed to be a single file with all the data sorted by age
B) The SORT BY command causes only one reducer to be used
C) Each reducer generates a file sorted by age
D) The output of each reducer is only the age column


3. Which HDFS command displays the contents of the file x in the user's HDFS home directory?

A) hadoop fs -Is x
B) hadoop fs -cp x
C) hadoop fs -cat x
D) hdfs fs -get x


4. You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses
TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs
with the key consisting of the matching text, and the value containing the filename and byte offset.
Determine the difference between setting the number of reduces to one and settings the number of
reducers to zero.

A) There is no difference in output between the two settings.
B) With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of
matching patterns are stored in a single file on HDFS.
C) With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one
reducer, all instances of matching patterns are gathered together in one file on HDFS.
D) With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With
one reducer, instances of matching patterns are stored in multiple files on HDFS.


5. Which HDFS command uploads a local file X into an existing HDFS directory Y?

A) hadoop scp X Y
B) hadoop fs-put X Y
C) hadoop fs -get X Y
D) hadoop fs -localPut X Y


Solutions:

Question # 1
Answer: A
Question # 2
Answer: C
Question # 3
Answer: C
Question # 4
Answer: C
Question # 5
Answer: B

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