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Updated: Sep 29, 2026
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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 |
| Exam Price: | $250 USD |
| Available Languages: | English |
| Passing Score: | 70% |
| Real Exam Qty: | 8–12 performance-based tasks / approx. 110 multiple-choice |
| Certificate Validity Period: | 2 years |
| Exam Format: | Scenario-based tasks, Multiple-choice questions, Performance-based hands-on tasks |
| Related Certifications: | HDP Certified Administrator (HDPCA) Hortonworks Certified Associate (HCA) |
| 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 |
|---|---|---|
| Topic 1: Apache Pig Development | 30% | - Write and optimize Pig Latin scripts - Data transformation, filtering, joining, and aggregation - Debug and tune Pig jobs |
| Topic 2: Data Ingestion | 25% | - Ingest streaming data with Flume - Load data into HDFS from external sources - Import/export data using Sqoop |
| Topic 3: Hadoop Fundamentals & Architecture | 20% | - MapReduce concepts and job lifecycle - HDFS operations and file management - YARN architecture and job execution |
| Topic 4: Apache Hive Development | 25% | - Create and manage Hive tables, partitions, and buckets - Write and optimize HiveQL queries - Use Hive functions, views, and metastore |
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
Which Two of the following statements are true about hdfs? Choose 2 answers
- A. Blocks are replicated to multiple datanodes
- B. Block sizes for all files must be the same size
- C. HDFS works best when storing a large number of relatively small files
- D. An HDFS file that is larger than dfs.block.size is split into blocks
Correct Answer: A,D 🗳️
Consider the following two relations, A and B.
What is the output of the following Pig commands?
X = GROUP A BY S1; DUMP X;
- A. Option B
- B. Option D
- C. Option C
- D. Option A
Correct Answer: B 🗳️
Which one of the following statements describes the relationship between the ResourceManager and the ApplicationMaster?
- A. The ResourceManager monitors and restarts any failed Containers of the ApplicationMaster
- B. The ApplicationMaster requests resources from the ResourceManager
- C. The ApplicationMaster starts an instance of the ResourceManager within each Container
- D. The ApplicationMaster starts a single instance of the ResourceManager
Correct Answer: B 🗳️
Which TWO of the following statements are true regarding Hive? Choose 2 answers
- A. Useful for data analysts familiar with SQL who need to do ad-hoc queries
- B. Allows you to define a structure for your unstructured Big Data
- C. Is a relational database
- D. Offers real-time queries and row level updates
Correct Answer: A,B 🗳️
You have user profile records in your OLPT database, that you want to join with web logs you have already ingested into the Hadoop file system. How will you obtain these user records?
- A. Ingest with Flume agents
- B. Ingest with Hadoop Streaming
- C. Sqoop import
- D. Pig LOAD command
- E. Hive LOAD DATA command
- F. HDFS command
Correct Answer: C 🗳️
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