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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer : Apache-Hadoop-Developer
- Exam Code: Apache-Hadoop-Developer
- Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
- Updated: Jul 24, 2026
- Q & A: 110 Questions and Answers
About Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer : Apache-Hadoop-Developer Exam
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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Hadoop Fundamentals & Architecture | 20% | - HDFS operations and file management - YARN architecture and job execution - MapReduce concepts and job lifecycle |
| Apache Pig Development | 30% | - Write and optimize Pig Latin scripts - Data transformation, filtering, joining, and aggregation - Debug and tune Pig jobs |
| Data Ingestion | 25% | - Load data into HDFS from external sources - Import/export data using Sqoop - Ingest streaming data with Flume |
| Apache Hive Development | 25% | - Create and manage Hive tables, partitions, and buckets - Use Hive functions, views, and metastore - Write and optimize HiveQL queries |
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
1. Which one of the following statements describes a Pig bag. tuple, and map, respectively?
A) Ordered set of fields, ordered collection of tuples, ordered collection of maps
B) Unordered collection of maps, ordered collection of tuples, ordered set of key/value pairs
C) Ordered collection of maps, ordered collection of bags, and unordered set of key/value pairs
D) Unordered collection of tuples, ordered set of fields, set of key value pairs
2. You use the hadoop fs -put command to write a 300 MB file using and HDFS block size of 64 MB. Just after this command has finished writing 200 MB of this file, what would another user see when trying to access this life?
A) They would see the current state of the file, up to the last bit written by the command.
B) They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.
C) They would see the current of the file through the last completed block.
D) They would see no content until the whole file written and closed.
3. Which one of the following files is required in every Oozie Workflow application?
A) Workflow.xml
B) job.properties
C) Oozie.xml
D) Config-default.xml
4. 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) 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.
D) Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
E) Never. Combiners and reducers must be implemented separately because they serve different purposes.
5. Which one of the following statements is FALSE regarding the communication between DataNodes and a federation of NameNodes in Hadoop 2.0?
A) Each DataNode registers with all the NameNodes.
B) Each DataNode receives commands from one designated master NameNode.
C) DataNodes send periodic block reports to all the NameNodes.
D) DataNodes send periodic heartbeats to all the NameNodes.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: B |
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