Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
Certification Provider: Hortonworks
Corresponding Certification: HCAHD
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Updated: Sep 05, 2026
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Hortonworks Apache-Hadoop-Developer Exam Overview:
| Certification Vendor: | Hortonworks (now part of Cloudera) |
|---|---|
| Exam Name: | Apache Hadoop Developer Exam (Pig and Hive Developer Focus) |
| Exam Number: | Apache-Hadoop-Developer |
| Available Languages: | English |
| Related Certifications: | Hortonworks Certified Apache Hadoop Administrator Cloudera Data Platform certifications |
| Exam Format: | Multiple Choice, Scenario-based Questions |
| Recommended Training: | Cloudera Training Courses Apache Hive Documentation Apache Pig Documentation |
| Exam Registration: | Cloudera Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam or authorized test center (varies by provider and time period) |
| Pre Condition: | Basic understanding of Linux, SQL, and distributed computing concepts recommended. |
| Official Syllabus URL: | https://www.cloudera.com/services-and-support/certification.html |
Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Apache Pig | - Pig execution model
|
| Data Processing and Integration | - Hadoop data formats
|
| Hadoop Ecosystem Fundamentals | - YARN and Resource Management
|
| Apache Hive | - Hive architecture
|
Hortonworks Apache-Hadoop-Developer Exam Questions Answered
The Apache-Hadoop-Developer exam leads to the Hortonworks Certified Apache Hadoop Developer certification from Hortonworks (now part of Cloudera). It is positioned at the Professional level. The exam validates the knowledge and skills expected of candidates preparing for Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer.
Related certifications include:
- Hortonworks Certified Apache Hadoop Administrator
- Cloudera Data Platform certifications
Basic understanding of Linux, SQL, and distributed computing concepts recommended.
Eligibility rules can change, so confirm the current requirements on the official exam page before registering.
You can register through the official channels listed below:
The available exam delivery method is Online proctored exam or authorized test center (varies by provider and time period).
The official training options include:
After reviewing the recommended training, reinforce what you learned with Actual4dump's 110 practice questions for Apache-Hadoop-Developer.
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The current Apache-Hadoop-Developer outline is organized into 4 top-level domains. The first listed areas include:
- Hadoop Ecosystem Fundamentals
- Data Processing and Integration
- Apache Pig
Review the Exam Topics section above for the complete outline and any nested subtopics.
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
What does Pig provide to the overall Hadoop solution?
- A. C++ interface to MapReduce and data warehouse infrastructure
- B. Legacy language Integration with MapReduce framework
- C. Simple scripting language for writing MapReduce programs
- D. Database table and storage management services
Determine which best describes when the reduce method is first called in a MapReduce job?
- A. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called as soon as the intermediate key-value pairs start to arrive.
- B. Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs.
- C. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called only after all intermediate data has been copied and sorted.
- D. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.
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Table metadata in Hive is:
- A. Stored in ZooKeeper.
- B. Stored as metadata on the NameNode.
- C. Stored along with the data in HDFS.
- D. Stored in the Metastore.
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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. 0
- C. 3
- D. 1
- E. 6
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You have just executed a MapReduce job. Where is intermediate data written to after being emitted from the Mapper's map method?
- A. Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into HDFS.
- B. Intermediate data in streamed across the network from Mapper to the Reduce and is never written to disk.
- C. Into in-memory buffers that spill over to the local file system of the TaskTracker node running the Mapper.
- D. Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node running the Reducer
- E. Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into HDFS.
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