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

Apache-Hadoop-Developer real exams

Exam Code: Apache-Hadoop-Developer

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

Updated: Aug 10, 2026

Q & A: 110 Questions and Answers

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

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

1. Which one of the following statements is true regarding a MapReduce job?

A) The Mapper must sort its output of (key.value) pairs in descending order based on value
B) The job's Partitioner shuffles and sorts all (key.value) pairs and sends the output to all reducers
C) The reduce method is invoked once for each unique value
D) The default Hash Partitioner sends key value pairs with the same key to the same Reducer


2. When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?

A) Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
B) When the signature of the reduce method matches the signature of the combine method.
C) Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
D) Never. Combiners and reducers must be implemented separately because they serve different purposes.
E) When the types of the reduce operation's input key and input value match the types of the reducer's output key and output value and when the reduce operation is both communicative and associative.


3. Table metadata in Hive is:

A) Stored along with the data in HDFS.
B) Stored in ZooKeeper.
C) Stored as metadata on the NameNode.
D) Stored in the Metastore.


4. Review the following 'data' file and Pig code.

Which one of the following statements is true?

A) The code executes successfully but there is not output because the D relation is empty
B) The output of the dump d command is (M, {(38,95in),(62,95i02)})
C) The Output Of the DUMP D command IS (M,{(M,62.95102),(M,38,95111)})
D) The code does not execute successfully because D is not a valid relation


5. Which one of the following statements is false about HCatalog?

A) Exists as a subproject of Hive
B) Designed to be used by other programs such as Pig, Hive and MapReduce
C) Provides a shared schema mechanism
D) Stores HDFS data in a database for performing SQL-like ad-hoc queries


Solutions:

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

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