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

  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Aug 06, 2026
  • Q & A: 110 Questions and Answers

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Topic 1: Apache Hive- HiveQL Query Language
  • 1. Schema definition and tables
    • 2. SELECT, JOIN, and aggregation queries
      - Hive architecture
      • 1. Metastore and query execution engine
        Topic 2: Apache Pig- Pig execution model
        • 1. MapReduce translation of Pig scripts
          - Pig Latin Programming
          • 1. Filtering, grouping, and joining data
            • 2. Data loading and transformation
              Topic 3: Data Processing and Integration- Hadoop data formats
              • 1. Text, SequenceFile, and columnar formats
                - Data ingestion and ETL workflows
                • 1. Batch processing concepts
                  Topic 4: Hadoop Ecosystem Fundamentals- YARN and Resource Management
                  • 1. Cluster resource allocation
                    • 2. Resource scheduling concepts
                      - HDFS Architecture and Data Storage Concepts
                      • 1. Data replication and fault tolerance
                        • 2. NameNode and DataNode roles

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

                          1. Given the following Hive commands:

                          Which one of the following statements Is true?

                          A) The file mydata.txt does not move from Its current location in HDFS
                          B) The file mydata.txt is moved to a subfolder of /apps/hive/warehouse
                          C) The file mydata.txt is copied to a subfolder of /apps/hive/warehouse
                          D) The file mydata.txt is copied into Hive's underlying relational database 0.


                          2. In a MapReduce job, you want each of your input files processed by a single map task. How do you configure a MapReduce job so that a single map task processes each input file regardless of how many blocks the input file occupies?

                          A) Write a custom MapRunner that iterates over all key-value pairs in the entire file.
                          B) Set the number of mappers equal to the number of input files you want to process.
                          C) Increase the parameter that controls minimum split size in the job configuration.
                          D) Write a custom FileInputFormat and override the method isSplitable to always return false.


                          3. Given a directory of files with the following structure: line number, tab character, string:
                          Example:
                          1abialkjfjkaoasdfjksdlkjhqweroij
                          2kadfjhuwqounahagtnbvaswslmnbfgy
                          3kjfteiomndscxeqalkzhtopedkfsikj
                          You want to send each line as one record to your Mapper. Which InputFormat should you use to complete the line: conf.setInputFormat (____.class) ; ?

                          A) KeyValueFileInputFormat
                          B) BDBInputFormat
                          C) SequenceFileInputFormat
                          D) SequenceFileAsTextInputFormat


                          4. What are the TWO main components of the YARN ResourceManager process? Choose 2 answers

                          A) Job Tracker
                          B) Applications Manager
                          C) Task Tracker
                          D) Scheduler


                          5. Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and monitoring application resource usage?

                          A) ApplicationMasterService
                          B) ResourceManager
                          C) ApplicationMaster
                          D) NodeManager
                          E) TaskTracker
                          F) JobTracker


                          Solutions:

                          Question # 1
                          Answer: C
                          Question # 2
                          Answer: D
                          Question # 3
                          Answer: A
                          Question # 4
                          Answer: B,D
                          Question # 5
                          Answer: D

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