Passing exam with Apache-Hadoop-Developer latest training materials
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Updated: Jul 30, 2026
No. of Questions: 110 Questions & Answers with Testing Engine
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Hortonworks Apache-Hadoop-Developer Exam Overview:
| Certification Vendor: | Hortonworks |
| Exam Name: | Hortonworks Certified Apache Hadoop 2.0 Developer (Pig and Hive Developer) |
| Exam Number: | HADOOP-PR000007 / HDPCD / Apache-Hadoop-Developer |
| Related Certifications: | Hortonworks Certified Associate (HCA) HDP Certified Administrator (HDPCA) |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 8–12 performance-based tasks / approx. 110 multiple-choice |
| Exam Price: | $250 USD |
| Available Languages: | English |
| Exam Format: | Performance-based hands-on tasks, Multiple-choice questions, Scenario-based tasks |
| Passing Score: | 70% |
| Exam Duration: | 120 minutes |
| Recommended Training: | Apache Pig & Hive Official Documentation Hortonworks Official Developer Training |
| Exam Registration: | Hortonworks Certification Portal |
| Sample Questions: | Hortonworks Apache-Hadoop-Developer Sample Questions |
| Exam Way: | Online proctored exam on a remote HDP 2.2 / 2.4 cluster |
| Pre Condition: | Recommended: 6+ months hands-on experience with HDP, Pig, Hive, Sqoop, Flume; no mandatory prerequisites |
| Official Syllabus URL: | https://hortonworks.com/services/training-certification/ (program retired) |
Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Ingestion | 25% | - Ingest streaming data with Flume - Import/export data using Sqoop - Load data into HDFS from external sources |
| Apache Hive Development | 25% | - Create and manage Hive tables, partitions, and buckets - Use Hive functions, views, and metastore - Write and optimize HiveQL queries |
| Hadoop Fundamentals & Architecture | 20% | - YARN architecture and job execution - MapReduce concepts and job lifecycle - HDFS operations and file management |
| Apache Pig Development | 30% | - Write and optimize Pig Latin scripts - Debug and tune Pig jobs - Data transformation, filtering, joining, and aggregation |
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
1. Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and generate Java classes to interact with that imported data?
A) Hue
B) Sqoop
C) Oozie
D) Flume
E) Hive
F) Pig
G) fuse-dfs
2. Workflows expressed in Oozie can contain:
A) Iterntive repetition of MapReduce jobs until a desired answer or state is reached.
B) Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with exception handlers but no forks.
C) Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can be combined with forks and path joins.
D) Sequences of MapReduce and Pig. These sequences can be combined with other actions including forks, decision points, and path joins.
3. Which one of the following is NOT a valid Oozie action?
A) mapreduce
B) mrunit
C) hive
D) pig
4. What does Pig provide to the overall Hadoop solution?
A) Database table and storage management services
B) C++ interface to MapReduce and data warehouse infrastructure
C) Legacy language Integration with MapReduce framework
D) Simple scripting language for writing MapReduce programs
5. Given the following Hive command:
INSERT OVERWRITE TABLE mytable SELECT * FROM myothertable;
Which one of the following statements is true?
A) The contents of myothertable are appended to mytable
B) The statement is not a valid Hive command
C) Any existing data in mytable will be overwritten
D) A new table named mytable is created, and the contents of myothertable are copied into mytable
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: C |
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