Hortonworks Apache-Hadoop-Developer Exam Questions : Hadoop 2.0 Certification exam for Pig and Hive Developer

  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Sep 01, 2025
  • Q&As: 110 Questions and Answers

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

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

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


2. In the reducer, the MapReduce API provides you with an iterator over Writable values. What does calling the next () method return?

A) It returns a reference to a Writable object from an object pool.
B) It returns a reference to the same Writable object each time, but populated with different data.
C) It returns a reference to a Writable object. The API leaves unspecified whether this is a reused object or a new object.
D) It returns a reference to a different Writable object time.
E) It returns a reference to the same Writable object if the next value is the same as the previous value, or a new Writable object otherwise.


3. To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the best way to accomplish this?

A) Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.
B) Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
C) Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
D) Place the data file in the DataCache and read the data into memory in the configure method of the mapper.


4. What does Pig provide to the overall Hadoop solution?

A) Database table and storage management services
B) C++ interface to MapReduce and data warehouse infrastructure
C) Simple scripting language for writing MapReduce programs
D) Legacy language Integration with MapReduce framework


5. Your client application submits a MapReduce job to your Hadoop cluster. Identify the Hadoop daemon on which the Hadoop framework will look for an available slot schedule a MapReduce operation.

A) JobTracker
B) DataNode
C) Secondary NameNode
D) TaskTracker
E) NameNode


Solutions:

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

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