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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

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

                    Question #1

                    You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses
                    TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs
                    with the key consisting of the matching text, and the value containing the filename and byte offset.
                    Determine the difference between setting the number of reduces to one and settings the number of
                    reducers to zero.

                    • A. With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With
                      one reducer, instances of matching patterns are stored in multiple files on HDFS.
                    • B. There is no difference in output between the two settings.
                    • C. With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of
                      matching patterns are stored in a single file on HDFS.
                    • D. With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one
                      reducer, all instances of matching patterns are gathered together in one file on HDFS.
                    Reveal Solution  Discussion  0

                    Correct Answer: D  🗳️

                    Question #2

                    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. The SAMPLE command generates an "unexpected symbol" error
                    • C. The reducers will only output the first 20% of the data passed from the mappers
                    • D. Each MapReduce task will terminate after executing for 0.2 minutes
                    Reveal Solution  Discussion  0

                    Correct Answer: A  🗳️

                    Question #3

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

                    • A. ResourceManager
                    • B. ApplicationMasterService
                    • C. NodeManager
                    • D. JobTracker
                    • E. TaskTracker
                    • F. ApplicationMaster
                    Reveal Solution  Discussion  0

                    Correct Answer: C  🗳️

                    Question #4

                    You want to perform analysis on a large collection of images. You want to store this data in HDFS and
                    process it with MapReduce but you also want to give your data analysts and data scientists the ability to
                    process the data directly from HDFS with an interpreted high-level programming language like Python.
                    Which format should you use to store this data in HDFS?

                    • A. JSON
                    • B. Avro
                    • C. CSV
                    • D. XML
                    • E. SequenceFiles
                    • F. HTML
                    Reveal Solution  Discussion  0

                    Correct Answer: B  🗳️

                    Question #5

                    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 the hadoop command with the -jt local and the -fs file:///options.
                    • B. Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.
                    • C. Run all the nodes in your production cluster as virtual machines on your development workstation.
                    • D. Run simldooop, the Apache open-source software for simulating Hadoop clusters.
                    Reveal Solution  Discussion  0

                    Correct Answer: B  🗳️

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