Hortonworks Apache-Hadoop-Developer Exam Information and Actual Questions

  • Exam Code/Number: Apache-Hadoop-Developer
  • Exam Name/Title: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Certification Provider: Hortonworks
  • Corresponding Certification: HCAHD
  • Exam Questions: 110
  • Updated On: Aug 02, 2026

Apache-Hadoop-Developer
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Hortonworks
Apache-Hadoop-Developer Exam
Hadoop 2.0 Certification exam for Pig and Hive Developer

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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
Passing Score:70%
Real Exam Qty:8–12 performance-based tasks / approx. 110 multiple-choice
Exam Format:Performance-based hands-on tasks, Multiple-choice questions, Scenario-based tasks
Related Certifications:Hortonworks Certified Associate (HCA)
HDP Certified Administrator (HDPCA)
Exam Price:$250 USD
Certificate Validity Period:2 years
Available Languages:English
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:

SectionWeightObjectives
Data Ingestion25%- Load data into HDFS from external sources
- Import/export data using Sqoop
- Ingest streaming data with Flume
Hadoop Fundamentals & Architecture20%- MapReduce concepts and job lifecycle
- YARN architecture and job execution
- HDFS operations and file management
Apache Pig Development30%- Write and optimize Pig Latin scripts
- Data transformation, filtering, joining, and aggregation
- Debug and tune Pig jobs
Apache Hive Development25%- Create and manage Hive tables, partitions, and buckets
- Write and optimize HiveQL queries
- Use Hive functions, views, and metastore


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