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Hortonworks HADOOP-PR000007 : Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
Exam Code: HADOOP-PR000007
Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
Updated: Sep 13, 2026
Q & A: 110 Questions and Answers
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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Apache Hive Development | 35% | - Data types, serialization, and file formats - Hive architecture, metastore, and table management - Performance tuning and indexing - HiveQL queries, joins, aggregations, and partitioning |
| Apache Pig Development | 40% | - User-defined functions (UDFs) and optimization - Data transformation, filtering, grouping, and joining - Integration with HCatalog and Hive - Pig Latin syntax, data loading, and storage |
| Data Ingestion & Ecosystem Integration | 5% | - Workflow orchestration with Oozie - Sqoop and Flume usage basics |
| Hadoop Fundamentals & HDFS | 20% | - Hadoop 2.0 architecture & YARN - HDFS file operations, permissions, and data management |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
Question #1
What does the following command do? register '/piggyban):/pig-files.jar';
- A. Assigns a name to a user-defined function or streaming command
- B. Specifies the location of the JAR file containing the user-defined functions
- C. Invokes the user-defined functions contained in the jar file
- D. Transforms Pig user-defined functions into a format that Hive can accept
Answer: B
Question #2
Given the following Hive commands:
Which one of the following statements Is true?
- A. The file mydata.txt is moved to a subfolder of /apps/hive/warehouse
- B. The file mydata.txt is copied into Hive's underlying relational database 0.
- C. The file mydata.txt is copied to a subfolder of /apps/hive/warehouse
- D. The file mydata.txt does not move from Its current location in HDFS
Answer: C
Question #3
You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses
TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs
with the key consisting of the matching text, and the value containing the filename and byte offset.
Determine the difference between setting the number of reduces to one and settings the number of
reducers to zero.
- A. There is no difference in output between the two settings.
- B. With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With
one reducer, instances of matching patterns are stored in multiple files on HDFS. - C. With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one
reducer, all instances of matching patterns are gathered together in one file on HDFS. - D. With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of
matching patterns are stored in a single file on HDFS.
Answer: C
Question #4
Indentify which best defines a SequenceFile?
- A. A SequenceFile contains a binary encoding of an arbitrary number of homogeneous Writable objects
- B. A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be
the same type. Each value must be the same type. - C. A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous Writable objects
- D. A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in
sorted order.
Answer: B
Question #5
The Hadoop framework provides a mechanism for coping with machine issues such as faulty
configuration or impending hardware failure. MapReduce detects that one or a number of machines are
performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and
the task finish first are used. This is called:
- A. IdentityMapper
- B. Combine
- C. Default Partitioner
- D. Speculative Execution
- E. IdentityReducer
Answer: D
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