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

Hortonworks HADOOP-PR000007 Actual PDF
  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Jul 20, 2026
  • Q & A: 110 Questions and Answers
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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
SectionObjectives
Data Processing with Pig- Pig Latin fundamentals
  • 1. Data types and schemas
    • 2. Pig operators and transformations
      • 3. Loading and storing data
        - Advanced Pig processing
        • 1. Joins and grouping
          • 2. User Defined Functions (UDFs)
            Hadoop Ecosystem Integration- MapReduce basics
            - HDFS interaction
            - Data ingestion and ETL workflows
            Data Warehousing with Hive- HiveQL fundamentals
            • 1. SELECT queries and filtering
              • 2. Tables, partitions, and schemas
                - Advanced Hive features
                • 1. Joins and aggregations
                  • 2. Metastore and HCatalog usage
                    Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

                    1. Examine the following Pig commands:

                    Which one of the following statements is true?

                    A) The SAMPLE command generates an "unexpected symbol" error
                    B) Each MapReduce task will terminate after executing for 0.2 minutes
                    C) A random sample of approximately 20% of the data will be output
                    D) The reducers will only output the first 20% of the data passed from the mappers


                    2. In a MapReduce job, the reducer receives all values associated with same key. Which statement best
                    describes the ordering of these values?

                    A) The values are in sorted order.
                    B) The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce
                    job.
                    C) The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the
                    same ordering.
                    D) Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted
                    values.


                    3. Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the
                    two tables are formatted as comma-separated files in HDFS.

                    A) Yes, but only if one of the tables fits into memory
                    B) No, MapReduce cannot perform relational operations.
                    C) No, but it can be done with either Pig or Hive.
                    D) Yes, so long as both tables fit into memory.
                    E) Yes.


                    4. You need to perform statistical analysis in your MapReduce job and would like to call methods in the
                    Apache Commons Math library, which is distributed as a 1.3 megabyte Java archive (JAR) file. Which is
                    the best way to make this library available to your MapReducer job at runtime?

                    A) When submitting the job on the command line, specify the -libjars option followed by the JAR file path.
                    B) Have your system administrator copy the JAR to all nodes in the cluster and set its location in the
                    HADOOP_CLASSPATH environment variable before you submit your job.
                    C) Have your system administrator place the JAR file on a Web server accessible to all cluster nodes and
                    then set the HTTP_JAR_URL environment variable to its location.
                    D) Package your code and the Apache Commands Math library into a zip file named JobJar.zip


                    5. Which one of the following files is required in every Oozie Workflow application?

                    A) job.properties
                    B) Workflow.xml
                    C) Oozie.xml
                    D) Config-default.xml


                    Solutions:

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

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