Hortonworks HADOOP-PR000007 Valid Dumps - Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)

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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Warehousing with Hive- HiveQL fundamentals
  • 1. Tables, partitions, and schemas
    • 2. SELECT queries and filtering
      - Advanced Hive features
      • 1. Metastore and HCatalog usage
        • 2. Joins and aggregations
          Topic 2: Hadoop Ecosystem Integration- MapReduce basics
          - HDFS interaction
          - Data ingestion and ETL workflows
          Topic 3: Data Processing with Pig- Advanced Pig processing
          • 1. Joins and grouping
            • 2. User Defined Functions (UDFs)
              - Pig Latin fundamentals
              • 1. Data types and schemas
                • 2. Pig operators and transformations
                  • 3. Loading and storing data

                    Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

                    1. Given a directory of files with the following structure:
                    line number, tab character, string:
                    Example:
                    1 abialkjfjkaoasdfjksdlkjhqweroij
                    2 kadfjhuwqounahagtnbvaswslmnbfgy
                    3 kjfteiomndscxeqalkzhtopedkfsikj
                    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) SequenceFileInputFormat
                    C) BDBInputFormat
                    D) SequenceFileAsTextInputFormat


                    2. Which process describes the lifecycle of a Mapper?

                    A) The JobTracker spawns a new Mapper to process all records in a single file.
                    B) The TaskTracker spawns a new Mapper to process all records in a single input split.
                    C) The TaskTracker spawns a new Mapper to process each key-value pair.
                    D) The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.


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


                    4. Which describes how a client reads a file from HDFS?

                    A) The client queries the NameNode for the block location(s). The NameNode returns the block location(s)
                    to the client. The client reads the data directory off the DataNode(s).
                    B) The client contacts the NameNode for the block location(s). The NameNode contacts the DataNode
                    that holds the requested data block. Data is transferred from the DataNode to the NameNode, and then
                    from the NameNode to the client.
                    C) The client queries all DataNodes in parallel. The DataNode that contains the requested data responds
                    directly to the client. The client reads the data directly off the DataNode.
                    D) The client contacts the NameNode for the block location(s). The NameNode then queries the
                    DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode redirects
                    the client to the DataNode that holds the requested data block(s). The client then reads the data directly
                    off the DataNode.


                    5. 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) Any existing data in mytable will be overwritten
                    C) The statement is not a valid Hive command
                    D) The contents of myothertable are appended to mytable


                    Solutions:

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

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