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Updated: Jul 29, 2026
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Hortonworks Apache-Hadoop-Developer Exam Overview:
| Certification Vendor: | Hortonworks |
| Exam Name: | Hadoop 2.0 Certification Exam for Pig and Hive Developer |
| Exam Number: | Hadoop-PR000007 |
| Exam Price: | $250 USD |
| Real Exam Qty: | Performance-based tasks |
| Available Languages: | English |
| Exam Duration: | 120 minutes |
| Related Certifications: | HDP Certified Developer (HDPCD) HDP Certified Administrator (HDPCA) HDP Certified Java Developer |
| Exam Format: | Performance-based, Hands-on lab, Live Hadoop cluster tasks |
| Sample Questions: | Hortonworks Apache-Hadoop-Developer Sample Questions |
| Exam Way: | Online remotely proctored, performance-based examination conducted on a live Hadoop cluster. |
| Pre Condition: | No mandatory prerequisite exam. Candidates are expected to have practical experience with Hortonworks Data Platform, Pig, Hive, Sqoop and Flume. |
| Official Syllabus URL: | https://www.cloudera.com/services-and-support/training/certification/hdp-cert-exam-faq.html |
Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion | - Import data into Hadoop
|
| Topic 2: Data Analysis with Hive | - Hive query development
|
| Topic 3: Data Transformation with Pig | - Pig Latin programming
|
| Topic 4: Data Processing | - End-to-end Hadoop workflows
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
1. You want to run Hadoop jobs on your development workstation for testing before you submit them to your production cluster. Which mode of operation in Hadoop allows you to most closely simulate a production cluster while using a single machine?
A) Run all the nodes in your production cluster as virtual machines on your development workstation.
B) Run simldooop, the Apache open-source software for simulating Hadoop clusters.
C) Run the hadoop command with the -jt local and the -fs file:///options.
D) Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.
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) 1
D) 3
E) 0
3. A NameNode in Hadoop 2.0 manages ______________.
A) An arbitrary number of namespaces
B) No namespaces
C) A single namespace
D) Two namespaces: an active namespace and a backup namespace
4. Which process describes the lifecycle of a Mapper?
A) The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.
B) The TaskTracker spawns a new Mapper to process each key-value pair.
C) The JobTracker spawns a new Mapper to process all records in a single file.
D) The TaskTracker spawns a new Mapper to process all records in a single input split.
5. You wrote a map function that throws a runtime exception when it encounters a control character in input data. The input supplied to your mapper contains twelve such characters totals, spread across five file splits. The first four file splits each have two control characters and the last split has four control characters.
Indentify the number of failed task attempts you can expect when you run the job with mapred.max.map.attempts set to 4:
A) You will have five failed task attempts
B) You will have twelve failed task attempts
C) You will have forty-eight failed task attempts
D) You will have twenty failed task attempts
E) You will have seventeen failed task attempts
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: D |
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