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Hortonworks HADOOP-PR000007 dumps - in .pdf
- Exam Code: HADOOP-PR000007
- Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
- Updated: Sep 18, 2026
- Q & A: 110 Questions and Answers
- PDF Price: $49.99
- Free Demo
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- Exam Code: HADOOP-PR000007
- Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
- Updated: Sep 18, 2026
- Q & A: 110 Questions and Answers
- PDF Version + PC Test Engine + Online Test Engine
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Hortonworks HADOOP-PR000007 dumps - Testing Engine
- Exam Code: HADOOP-PR000007
- Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
- Updated: Sep 18, 2026
- Q & A: 110 Questions and Answers
- Software Price: $49.99
- Testing Engine
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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Hadoop Fundamentals & HDFS | 20% | - Hadoop 2.0 architecture & YARN - HDFS file operations, permissions, and data management |
| Topic 2: Data Ingestion & Ecosystem Integration | 5% | - Workflow orchestration with Oozie - Sqoop and Flume usage basics |
| Topic 3: Apache Hive Development | 35% | - Performance tuning and indexing - Hive architecture, metastore, and table management - Data types, serialization, and file formats - HiveQL queries, joins, aggregations, and partitioning |
| Topic 4: Apache Pig Development | 40% | - User-defined functions (UDFs) and optimization - Pig Latin syntax, data loading, and storage - Integration with HCatalog and Hive - Data transformation, filtering, grouping, and joining |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
Question #1
Which one of the following statements is true about a Hive-managed table?
- A. Hive dynamically defines the schema of the table based on the format of the underlying data.
- B. Records can only be added to the table using the Hive INSERT command.
- C. Hive dynamically defines the schema of the table based on the FROM clause of a SELECT query.
- D. When the table is dropped, the underlying folder in HDFS is deleted.
Correct Answer: D 🗳️
Question #2
You have written a Mapper which invokes the following five calls to the OutputColletor.collect method:
output.collect (new Text ("Apple"), new Text ("Red") ) ;
output.collect (new Text ("Banana"), new Text ("Yellow") ) ;
output.collect (new Text ("Apple"), new Text ("Yellow") ) ;
output.collect (new Text ("Cherry"), new Text ("Red") ) ;
output.collect (new Text ("Apple"), new Text ("Green") ) ;
How many times will the Reducer's reduce method be invoked?
- A. 5
- B. 6
- C. 3
- D. 0
- E. 1
Correct Answer: C 🗳️
Question #3
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 of the file through the last completed block.
- C. They would see the current state of the file, up to the last bit written by the command.
- D. They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.
Correct Answer: B 🗳️
Question #4
Consider the following two relations, A and B.
What is the output of the following Pig commands?
X = GROUP A BY S1; DUMP X;
- A. Option B
- B. Option D
- C. Option C
- D. Option A
Correct Answer: B 🗳️
Question #5
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. CSV
- B. Avro
- C. XML
- D. HTML
- E. SequenceFiles
- F. JSON
Correct Answer: B 🗳️
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