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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

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

                    Question 1

                    Your cluster's HDFS block size in 64MB. You have directory containing 100 plain text files, each of which
                    is 100MB in size. The InputFormat for your job is TextInputFormat. Determine how many Mappers will
                    run?

                    A. 640
                    B. 200
                    C. 100
                    D. 64


                    Question 2

                    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. SequenceFileAsTextInputFormat
                    B. BDBInputFormat
                    C. KeyValueFileInputFormat
                    D. SequenceFileInputFormat


                    Question 3

                    You need to run the same job many times with minor variations. Rather than hardcoding all job
                    configuration options in your drive code, you've decided to have your Driver subclass
                    org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
                    Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?

                    A. hadoop setproperty mapred.job.name=Example MyDriver input output
                    B. hadoop setproperty ("mapred.job.name=Example") MyDriver input output
                    C. hadoop "mapred.job.name=Example" MyDriver input output
                    D. hadoop MyDriver mapred.job.name=Example input output
                    E. hadoop MyDrive -D mapred.job.name=Example input output


                    Question 4

                    Which one of the following statements is false about HCatalog?

                    A. Stores HDFS data in a database for performing SQL-like ad-hoc queries
                    B. Exists as a subproject of Hive
                    C. Designed to be used by other programs such as Pig, Hive and MapReduce
                    D. Provides a shared schema mechanism


                    Question 5

                    A NameNode in Hadoop 2.0 manages ______________.

                    A. No namespaces
                    B. Two namespaces: an active namespace and a backup namespace
                    C. An arbitrary number of namespaces
                    D. A single namespace


                    Solutions:

                    Question 1
                    Answer: B
                    Question 2
                    Answer: C
                    Question 3
                    Answer: E
                    Question 4
                    Answer: A
                    Question 5
                    Answer: D

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