Exam Details

  • Exam Code
    :APACHE-HADOOP-DEVELOPER
  • Exam Name
    :Hadoop 2.0 Certification for Pig and Hive Developer
  • Certification
    :Hortonworks Certifications
  • Vendor
    :Hortonworks
  • Total Questions
    :60 Q&As
  • Last Updated
    :Jun 27, 2025

Hortonworks Hortonworks Certifications APACHE-HADOOP-DEVELOPER Questions & Answers

  • Question 71:

    A combiner reduces:

    A. The number of values across different keys in the iterator supplied to a single reduce method call.

    B. The amount of intermediate data that must be transferred between the mapper and reducer.

    C. The number of input files a mapper must process.

    D. The number of output files a reducer must produce.

  • Question 72:

    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. Combiner

    B. Mapper

    C. Reducer

    D. Reducer

    E. Combiner

  • Question 73:

    What does Pig provide to the overall Hadoop solution?

    A. Legacy language Integration with MapReduce framework

    B. Simple scripting language for writing MapReduce programs

    C. Database table and storage management services

    D. C++ interface to MapReduce and data warehouse infrastructure

  • Question 74:

    You need to create a job that does frequency analysis on input data. You will do this by writing a Mapper that uses TextInputFormat and splits each value (a line of text from an input file) into individual characters. For each one of these characters, you will emit the character as a key and an InputWritable as the value. As this will produce proportionally more intermediate data than input data, which two resources should you expect to be bottlenecks?

    A. Processor and network I/O

    B. Disk I/O and network I/O

    C. Processor and RAM

    D. Processor and disk I/O

  • Question 75:

    Indentify which best defines a SequenceFile?

    A. A SequenceFile contains a binary encoding of an arbitrary number of homogeneous Writable objects

    B. A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous Writable objects

    C. A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.

    D. A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be the same type. Each value must be the same type.

  • Question 76:

    Which one of the following statements describes the relationship between the NodeManager and the ApplicationMaster?

    A. The ApplicationMaster starts the NodeManager in a Container

    B. The NodeManager requests resources from the ApplicationMaster

    C. The ApplicationMaster starts the NodeManager outside of a Container

    D. The NodeManager creates an instance of the ApplicationMaster

  • Question 77:

    You have the following key-value pairs as output from your Map task:

    (the, 1)

    (fox, 1)

    (faster, 1)

    (than, 1)

    (the, 1) (dog, 1)

    How many keys will be passed to the Reducer's reduce method?

    A. Six

    B. Five

    C. Four

    D. Two

    E. One

    F. Three

  • Question 78:

    Which process describes the lifecycle of a Mapper?

    A. The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.

    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 spawns a new Mapper to process all records in a single file.

  • Question 79:

    Which one of the following statements is true regarding a MapReduce job?

    A. The job's Partitioner shuffles and sorts all (key.value) pairs and sends the output to all reducers

    B. The default Hash Partitioner sends key value pairs with the same key to the same Reducer

    C. The reduce method is invoked once for each unique value

    D. The Mapper must sort its output of (key.value) pairs in descending order based on value

  • Question 80:

    Workflows expressed in Oozie can contain:

    A. Sequences of MapReduce and Pig. These sequences can be combined with other actions including forks, decision points, and path joins.

    B. Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can be combined with forks and path joins.

    C. Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with exception handlers but no forks.

    D. Iterntive repetition of MapReduce jobs until a desired answer or state is reached.

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