Hortonworks HADOOP-PR000007 Q&A - in .pdf

  • HADOOP-PR000007 pdf
  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Jul 30, 2026
  • Q & A: 110 Questions and Answers
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HADOOP-PR000007 Practice Dumps

Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Processing with Pig- Pig Latin fundamentals
  • 1. Loading and storing data
    • 2. Data types and schemas
      • 3. Pig operators and transformations
        - Advanced Pig processing
        • 1. User Defined Functions (UDFs)
          • 2. Joins and grouping
            Topic 2: Hadoop Ecosystem Integration- Data ingestion and ETL workflows
            - MapReduce basics
            - HDFS interaction
            Topic 3: 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. What is the term for the process of moving map outputs to the reducers?

                    A) Partitioning
                    B) Shuffling and sorting
                    C) Combining
                    D) Reducing


                    2. All keys used for intermediate output from mappers must:

                    A) Be a subclass of FileInputFormat.
                    B) Implement a comparator for speedy sorting.
                    C) Implement WritableComparable.
                    D) Override isSplitable.
                    E) Implement a splittable compression algorithm.


                    3. You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys,
                    IntWritable values. Which interface should your class implement?

                    A) Reducer <Text, Text, IntWritable, IntWritable>
                    B) Reducer <Text, IntWritable, Text, IntWritable>
                    C) Mapper <Text, IntWritable, Text, IntWritable>
                    D) Combiner <Text, IntWritable, Text, IntWritable>
                    E) Combiner <Text, Text, IntWritable, IntWritable>


                    4. In Hadoop 2.0, which TWO of the following processes work together to provide automatic failover of the
                    NameNode? Choose 2 answers

                    A) ZooKeeper
                    B) QuorumManager
                    C) JournalNode
                    D) ZKFailoverController


                    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 configure 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 map method of the
                    mapper.


                    Solutions:

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

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