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 07, 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 - HiveQL queries, joins, aggregations, and partitioning - Performance tuning and indexing |
| Apache Pig Development | 40% | - Integration with HCatalog and Hive - User-defined functions (UDFs) and optimization - Pig Latin syntax, data loading, and storage - Data transformation, filtering, grouping, and joining |
| Data Ingestion & Ecosystem Integration | 5% | - Sqoop and Flume usage basics - Workflow orchestration with Oozie |
| Hadoop Fundamentals & HDFS | 20% | - HDFS file operations, permissions, and data management - Hadoop 2.0 architecture & YARN |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your
workload across you cluster?
- A. You will longer be able to take advantage of a Combiner.
- B. By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted
order. - C. There are no concerns with this approach. It is always advisable to use multiple reduces.
- D. You will not be able to compress the intermediate data.
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. Unordered collection of tuples, ordered set of fields, set of key value pairs
- D. Ordered collection of maps, ordered collection of bags, and unordered set of key/value pairs
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 no content until the whole file written and closed.
- B. They would see the current state of the file, up to the last bit written by the command.
- C. They would see the current of the file through the last completed block.
- D. They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.
You want to perform analysis on a large collection of images. You want to store this data in HDFS and
process it with MapReduce but you also want to give your data analysts and data scientists the ability to
process the data directly from HDFS with an interpreted high-level programming language like Python.
Which format should you use to store this data in HDFS?
- A. XML
- B. SequenceFiles
- C. JSON
- D. HTML
- E. Avro
- F. CSV
What is the term for the process of moving map outputs to the reducers?
- A. Shuffling and sorting
- B. Reducing
- C. Combining
- D. Partitioning
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