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

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Exam Code: Apache-Hadoop-Developer

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

Updated: Jul 30, 2026

Q & A: 110 Questions and Answers

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
SectionObjectives
Data Transformation with Pig- Pig Latin programming
  • 1. Load, filter, join, group and aggregate data
  • 2. Transform and process datasets
Data Processing- End-to-end Hadoop workflows
  • 1. Analyze structured and semi-structured data
  • 2. Produce required output using Hadoop ecosystem tools
Data Analysis with Hive- Hive query development
  • 1. Write queries, joins, aggregations and partitions
  • 2. Create and manage databases and tables
Data Ingestion- Import data into Hadoop
  • 1. Use Flume for log and event data ingestion
  • 2. Use Sqoop for relational data import
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

1. Indentify the utility that allows you to create and run MapReduce jobs with any executable
or script as the mapper and/or the reducer?

A) Sqoop
B) Flume
C) Oozie
D) Hadoop Streaming
E) mapred


2. You want to run Hadoop jobs on your development workstation for testing before you submit them to your production cluster. Which mode of operation in Hadoop allows you to most closely simulate a production cluster while using a single machine?

A) Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.
B) Run all the nodes in your production cluster as virtual machines on your development workstation.
C) Run simldooop, the Apache open-source software for simulating Hadoop clusters.
D) Run the hadoop command with the -jt local and the -fs file:///options.


3. Examine the following Hive statements:

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

A) The contents of File1 are parsed as comma-delimited rows and stored in a database
B) Hive reformats File1 into a structure that Hive can access and moves into to/user/joe/x/
C) The contents of File1 are parsed as comma-delimited rows and loaded into /user/joe/x/
D) The file named File1 is moved to to/user/joe/x/


4. In a MapReduce job with 500 map tasks, how many map task attempts will there be?

A) At least 500.
B) At most 500.
C) Exactly 500.
D) Between 500 and 1000.
E) It depends on the number of reduces in the job.


5. You need to run the same job many times with minor variations. Rather than hardcoding all job configuration options in your drive code, you've decided to have your Driver subclass org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?

A) hadoop setproperty ("mapred.job.name=Example") MyDriver input output
B) hadoop setproperty mapred.job.name=Example MyDriver input output
C) hadoop MyDriver mapred.job.name=Example input output
D) hadoop "mapred.job.name=Example" MyDriver input output
E) hadoop MyDrive -D mapred.job.name=Example input output


Solutions:

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

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