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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionWeightObjectives
Data Ingestion & Ecosystem Integration5%- Workflow orchestration with Oozie
- Sqoop and Flume usage basics
Apache Pig Development40%- Pig Latin syntax, data loading, and storage
- User-defined functions (UDFs) and optimization
- Data transformation, filtering, grouping, and joining
- Integration with HCatalog and Hive
Apache Hive Development35%- HiveQL queries, joins, aggregations, and partitioning
- Data types, serialization, and file formats
- Hive architecture, metastore, and table management
- Performance tuning and indexing
Hadoop Fundamentals & HDFS20%- HDFS file operations, permissions, and data management
- Hadoop 2.0 architecture & YARN

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

You have just executed a MapReduce job. Where is intermediate data written to after being emitted from
the Mapper's map method?

  • A. Into in-memory buffers that spill over to the local file system of the TaskTracker node running the
    Mapper.
  • B. Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into
    HDFS.
  • C. Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node
    running the Reducer
  • D. Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into
    HDFS.
  • E. Intermediate data in streamed across the network from Mapper to the Reduce and is never written to
    disk.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Examine the following Pig commands:

Which one of the following statements is true?

  • A. The reducers will only output the first 20% of the data passed from the mappers
  • 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 SAMPLE command generates an "unexpected symbol" error
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

What is a SequenceFile?

  • A. A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in
    sorted order.
  • 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 key-value pairs. Each key must be
    the same type. Each value must be same type.
  • D. A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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

Correct Answer: B  🗳️

When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?

  • A. Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
  • B. When the signature of the reduce method matches the signature of the combine method.
  • C. Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
  • D. When the types of the reduce operation's input key and input value match the types of the reducer's output key and output value and when the reduce operation is both communicative and associative.
  • E. Never. Combiners and reducers must be implemented separately because they serve different purposes.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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