Prepare with Hortonworks Apache-Hadoop-Developer exam practice material, pass for sure

Updated: Oct 09, 2026

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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 Duration:120 minutes
Available Languages:English
Real Exam Qty:Performance-based tasks
Related Certifications:HDP Certified Developer (HDPCD)
HDP Certified Administrator (HDPCA)
HDP Certified Java Developer
Exam Price:$250 USD
Exam Format:Performance-based, Live Hadoop cluster tasks, Hands-on lab
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 Processing- End-to-end Hadoop workflows
  • 1. Analyze structured and semi-structured data
  • 2. Produce required output using Hadoop ecosystem tools
Topic 2: Data Analysis with Hive- Hive query development
  • 1. Create and manage databases and tables
  • 2. Write queries, joins, aggregations and partitions
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 Transformation with Pig- Pig Latin programming
  • 1. Transform and process datasets
  • 2. Load, filter, join, group and aggregate data

Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

Question #1

Determine which best describes when the reduce method is first called in a MapReduce job?

  • A. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.
  • B. Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs.
  • C. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called only after all intermediate data has been copied and sorted.
  • D. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called as soon as the intermediate key-value pairs start to arrive.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #2

Which HDFS command uploads a local file X into an existing HDFS directory Y?

  • A. hadoop fs-put X Y
  • B. hadoop fs -get X Y
  • C. hadoop fs -localPut X Y
  • D. hadoop scp X Y
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #3

Which one of the following statements describes the relationship between the NodeManager and the ApplicationMaster?

  • A. The ApplicationMaster starts the NodeManager in a Container
  • B. The NodeManager requests resources from the ApplicationMaster
  • C. The ApplicationMaster starts the NodeManager outside of a Container
  • D. The NodeManager creates an instance of the ApplicationMaster
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #4

Given the following Pig commands:

Which one of the following statements is true?

  • A. The $1 variable represents the first column of data in 'my.log'
  • B. The grouped relation is not valid
  • C. The severe relation is not valid
  • D. The $1 variable represents the second column of data in 'my.log'
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #5

Analyze each scenario below and indentify which best describes the behavior of the default partitioner?

  • A. The default partitioner implements a round-robin strategy, shuffling the key-value pairs to each reducer in turn. This ensures an event partition of the key space.
  • B. The default partitioner computes the hash of the value and takes the mod of that value with the number of reducers. The result determines the reducer assigned to process the key-value pair.
  • C. The default partitioner assigns key-values pairs to reduces based on an internal random number generator.
  • D. The default partitioner computes the hash of the key. Hash values between specific ranges are associated with different buckets, and each bucket is assigned to a specific reducer.
  • E. The default partitioner computes the hash of the key and divides that valule modulo the number of reducers. The result determines the reducer assigned to process the key-value pair.
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

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