Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer : Apache-Hadoop-Developer valid dumps

Apache-Hadoop-Developer real exams

Exam Code: Apache-Hadoop-Developer

Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer

Updated: Jun 11, 2026

Q & A: 110 Questions and Answers

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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

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

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


2. You have a directory named jobdata in HDFS that contains four files: _first.txt, second.txt, .third.txt and #data.txt. How many files will be processed by the FileInputFormat.setInputPaths () command when it's given a path object representing this directory?

A) Two, file names with a leading period or underscore are ignored
B) Four, all files will be processed
C) Three, the pound sign is an invalid character for HDFS file names
D) None, the directory cannot be named jobdata
E) One, no special characters can prefix the name of an input file


3. For each input key-value pair, mappers can emit:

A) As many intermediate key-value pairs as designed. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
B) One intermediate key-value pair, but of the same type.
C) One intermediate key-value pair, of a different type.
D) As many intermediate key-value pairs as designed, but they cannot be of the same type as the input key-value pair.
E) As many intermediate key-value pairs as designed, as long as all the keys have the same types and all the values have the same type.


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

A) As many final key-value pairs as desired, but they must have the same type as the intermediate key-value pairs.
B) 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.
C) One final key-value pair per key; no restrictions on the type.
D) One final key-value pair per value associated with the key; no restrictions on the type.
E) 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).


5. A NameNode in Hadoop 2.0 manages ______________.

A) No namespaces
B) A single namespace
C) An arbitrary number of namespaces
D) Two namespaces: an active namespace and a backup namespace


Solutions:

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

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