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Hortonworks Apache-Hadoop-Developer Braindumps - in .pdf Free Demo

  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Last Updated: Jul 22, 2026
  • Q & A: 110 Questions and Answers
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  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Last Updated: Jul 22, 2026
  • Q & A: 110 Questions and Answers
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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Data Processing and Integration- Hadoop data formats
  • 1. Text, SequenceFile, and columnar formats
    - Data ingestion and ETL workflows
    • 1. Batch processing concepts
      Hadoop Ecosystem Fundamentals- HDFS Architecture and Data Storage Concepts
      • 1. Data replication and fault tolerance
        • 2. NameNode and DataNode roles
          - YARN and Resource Management
          • 1. Cluster resource allocation
            • 2. Resource scheduling concepts
              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
                    Apache Hive- HiveQL Query Language
                    • 1. Schema definition and tables
                      • 2. SELECT, JOIN, and aggregation queries
                        - Hive architecture
                        • 1. Metastore and query execution engine

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

                          1. Which one of the following statements is true regarding a MapReduce job?

                          A) The reduce method is invoked once for each unique value
                          B) The job's Partitioner shuffles and sorts all (key.value) pairs and sends the output to all reducers
                          C) The Mapper must sort its output of (key.value) pairs in descending order based on value
                          D) The default Hash Partitioner sends key value pairs with the same key to the same Reducer


                          2. Given the following Hive command:
                          INSERT OVERWRITE TABLE mytable SELECT * FROM myothertable;
                          Which one of the following statements is true?

                          A) A new table named mytable is created, and the contents of myothertable are copied into mytable
                          B) The statement is not a valid Hive command
                          C) Any existing data in mytable will be overwritten
                          D) The contents of myothertable are appended to mytable


                          3. Examine the following Pig commands:

                          Which one of the following statements is true?

                          A) A random sample of approximately 20% of the data will be output
                          B) Each MapReduce task will terminate after executing for 0.2 minutes
                          C) The SAMPLE command generates an "unexpected symbol" error
                          D) The reducers will only output the first 20% of the data passed from the mappers


                          4. You have a directory named jobdata in HDFS that contains four files: _first.txt, second.txt, .third.txt and #data.txt. How many files will be processed by the FileInputFormat.setInputPaths () command when it's given a path object representing this directory?

                          A) Four, all files will be processed
                          B) Two, file names with a leading period or underscore are ignored
                          C) Three, the pound sign is an invalid character for HDFS file names
                          D) None, the directory cannot be named jobdata
                          E) One, no special characters can prefix the name of an input file


                          5. For each intermediate key, each reducer task can emit:

                          A) As many final key-value pairs as desired, but they must have the same type as the intermediate key-value pairs.
                          B) As many final key-value pairs as desired, as long as all the keys have the same type and all the values have the same type.
                          C) As many final key-value pairs as desired. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
                          D) One final key-value pair per value associated with the key; no restrictions on the type.
                          E) One final key-value pair per key; no restrictions on the type.


                          Solutions:

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

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