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 06, 2026
  • Q & A: 110 Questions and Answers
  • PDF Price: $49.99

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  • 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
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $99.98  $69.99
  • Save 50%

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 06, 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
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. SELECT, JOIN, and aggregation queries
              • 2. Schema definition and tables
                - Hive architecture
                • 1. Metastore and query execution engine
                  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

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

                          1. Examine the following Hive statements:

                          Assuming the statements above execute successfully, which one of the following statements is true?

                          A) Each reducer generates a file sorted by age
                          B) The output is guaranteed to be a single file with all the data sorted by age
                          C) The SORT BY command causes only one reducer to be used
                          D) The output of each reducer is only the age column


                          2. What types of algorithms are difficult to express in MapReduce v1 (MRv1)?

                          A) Algorithms that require applying the same mathematical function to large numbers of individual binary records.
                          B) Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
                          C) Large-scale graph algorithms that require one-step link traversal.
                          D) Relational operations on large amounts of structured and semi-structured data.
                          E) Algorithms that require global, sharing states.


                          3. Given the following Pig command:
                          logevents = LOAD 'input/my.log' AS (date:chararray, levehstring, code:int, message:string);
                          Which one of the following statements is true?

                          A) The statement is not a valid Pig command
                          B) The logevents relation represents the data from the my.log file, using a tab as the parsing delimiter
                          C) The logevents relation represents the data from the my.log file, using a comma as the parsing delimiter
                          D) The first field of logevents must be a properly-formatted date string or table return an error


                          4. Which one of the following statements describes the relationship between the ResourceManager and the ApplicationMaster?

                          A) The ApplicationMaster starts an instance of the ResourceManager within each Container
                          B) The ApplicationMaster requests resources from the ResourceManager
                          C) The ApplicationMaster starts a single instance of the ResourceManager
                          D) The ResourceManager monitors and restarts any failed Containers of the ApplicationMaster


                          5. To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the best way to accomplish this?

                          A) Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
                          B) Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
                          C) Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
                          D) Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.


                          Solutions:

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

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