Hortonworks Apache-Hadoop-Developer dumps - in .pdf

Apache-Hadoop-Developer pdf
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Aug 07, 2026
  • Q & A: 110 Questions and Answers
  • PDF Price: $49.99
  • Free Demo

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  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Aug 07, 2026
  • Q & A: 110 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $99.98  $69.99
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Hortonworks Apache-Hadoop-Developer dumps - Testing Engine

Apache-Hadoop-Developer Testing Engine
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Aug 07, 2026
  • Q & A: 110 Questions and Answers
  • Software Price: $49.99
  • Testing Engine

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
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
          Data Processing and Integration- Data ingestion and ETL workflows
          • 1. Batch processing concepts
            - Hadoop data formats
            • 1. Text, SequenceFile, and columnar formats
              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. 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) None, the directory cannot be named jobdata
                          B) Three, the pound sign is an invalid character for HDFS file names
                          C) Two, file names with a leading period or underscore are ignored
                          D) One, no special characters can prefix the name of an input file
                          E) Four, all files will be processed


                          2. The Hadoop framework provides a mechanism for coping with machine issues such as faulty configuration or impending hardware failure. MapReduce detects that one or a number of machines are performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and the task finish first are used. This is called:

                          A) IdentityMapper
                          B) IdentityReducer
                          C) Speculative Execution
                          D) Default Partitioner
                          E) Combine


                          3. A combiner reduces:

                          A) The number of input files a mapper must process.
                          B) The number of values across different keys in the iterator supplied to a single reduce method call.
                          C) The amount of intermediate data that must be transferred between the mapper and reducer.
                          D) The number of output files a reducer must produce.


                          4. You want to run Hadoop jobs on your development workstation for testing before you submit them to your production cluster. Which mode of operation in Hadoop allows you to most closely simulate a production cluster while using a single machine?

                          A) Run all the nodes in your production cluster as virtual machines on your development workstation.
                          B) Run simldooop, the Apache open-source software for simulating Hadoop clusters.
                          C) Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.
                          D) Run the hadoop command with the -jt local and the -fs file:///options.


                          5. A client application creates an HDFS file named foo.txt with a replication factor of 3. Identify which best describes the file access rules in HDFS if the file has a single block that is stored on data nodes A, B and C?

                          A) Each data node locks the local file to prohibit concurrent readers and writers of the file.
                          B) The file will be marked as corrupted if data node B fails during the creation of the file.
                          C) The file can be accessed if at least one of the data nodes storing the file is available.
                          D) Each data node stores a copy of the file in the local file system with the same name as the HDFS file.


                          Solutions:

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

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