Prepare with Hortonworks HADOOP-PR000007 exam torrent, pass for sure
Updated: Sep 06, 2026
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Hortonworks HADOOP-PR000007 Exam Overview:
| Certification Vendor: | Hortonworks (acquired by Cloudera) |
|---|---|
| Exam Name: | Hortonworks-Certified-Apache-Hadoop-2.0-Developer (Pig and Hive Developer) |
| Exam Number: | HADOOP-PR000007 |
| Exam Format: | Hands-on performance-based tasks, Scenario-based questions |
| Passing Score: | 70% |
| Available Languages: | English |
| Real Exam Qty: | 110 |
| Exam Price: | $150 USD |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 2 years |
| Related Certifications: | HDP Certified Administrator (HDPCA) |
| Recommended Training: | Apache Pig & Hive Official Documentation HDP Developer Training |
| Exam Registration: | Cloudera Certification Portal |
| Sample Questions: | Hortonworks HADOOP-PR000007 Sample Questions |
| Exam Way: | Online proctored or authorized test center; retired since 2020 |
| Pre Condition: | No formal prerequisites; hands-on experience with HDP 2.x, Pig, and Hive strongly recommended |
| Official Syllabus URL: | https://www.cloudera.com/services-and-support/training/certification/hdp-cert-exam-faq.html |
Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Ingestion & Ecosystem Integration | 5% | - Workflow orchestration with Oozie - Sqoop and Flume usage basics |
| Apache Pig Development | 40% | - Integration with HCatalog and Hive - Pig Latin syntax, data loading, and storage - Data transformation, filtering, grouping, and joining - User-defined functions (UDFs) and optimization |
| Hadoop Fundamentals & HDFS | 20% | - Hadoop 2.0 architecture & YARN - HDFS file operations, permissions, and data management |
| Apache Hive Development | 35% | - Data types, serialization, and file formats - Hive architecture, metastore, and table management - Performance tuning and indexing - HiveQL queries, joins, aggregations, and partitioning |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
Question 1
Which project gives you a distributed, Scalable, data store that allows you random, realtime read/write
access to hundreds of terabytes of data?
A. Pig
B. Oozie
C. Hue
D. HBase
E. Sqoop
F. Hive
G. Flume
Question 2
What data does a Reducer reduce method process? Reference: Yahoo! Hadoop Tutorial, Module 4:
MapReduce
A. All the data in a single input file.
B. All data for a given value, regardless of which mapper(s) produced it.
C. All data for a given key, regardless of which mapper(s) produced it.
D. All data produced by a single mapper.
Question 3
What are the TWO main components of the YARN ResourceManager process? Choose 2 answers
A. Task Tracker
B. Applications Manager
C. Job Tracker
D. Scheduler
Question 4
What is the term for the process of moving map outputs to the reducers?
A. Shuffling and sorting
B. Partitioning
C. Combining
D. Reducing
Question 5
All keys used for intermediate output from mappers must:
A. Implement a comparator for speedy sorting.
B. Implement WritableComparable.
C. Be a subclass of FileInputFormat.
D. Override isSplitable.
E. Implement a splittable compression algorithm.
Solutions:
| Question 1 Answer: D | Question 2 Answer: C | Question 3 Answer: B,D | Question 4 Answer: A | Question 5 Answer: B |
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