Hortonworks Apache-Hadoop-Developer Exam Details & Actual Exam 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: Jun,20 2026
  • Certification Level: Professional

Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Exam Questions

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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 Format:Performance-based, Hands-on lab, Live Hadoop cluster tasks
Exam Duration:120 minutes
Available Languages:English
Related Certifications:HDP Certified Developer (HDPCD)
HDP Certified Administrator (HDPCA)
HDP Certified Java Developer
Exam Price:$250 USD
Real Exam Qty:Performance-based 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:

SectionObjectives
Topic 1: Data Transformation with Pig- Pig Latin programming
  • 1. Load, filter, join, group and aggregate data
  • 2. Transform and process datasets
Topic 2: Data Processing- End-to-end Hadoop workflows
  • 1. Produce required output using Hadoop ecosystem tools
  • 2. Analyze structured and semi-structured data
Topic 3: Data Ingestion- Import data into Hadoop
  • 1. Use Flume for log and event data ingestion
  • 2. Use Sqoop for relational data import
Topic 4: Data Analysis with Hive- Hive query development
  • 1. Write queries, joins, aggregations and partitions
  • 2. Create and manage databases and tables


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