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Hortonworks Apache-Hadoop-Developer - Hadoop 2.0 Certification exam for Pig and Hive Developer

Updated: Oct 21, 2026

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Apache-Hadoop-Developer Braindumps VCE
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer

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Hadoop 2.0 Certification exam for Pig and Hive Developer Apache-Hadoop-Developer exam vce dumps preparation

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionWeightObjectives
Data Ingestion25%- Load data into HDFS from external sources
- Ingest streaming data with Flume
- Import/export data using Sqoop
Apache Pig Development30%- Debug and tune Pig jobs
- Write and optimize Pig Latin scripts
- Data transformation, filtering, joining, and aggregation
Apache Hive Development25%- Create and manage Hive tables, partitions, and buckets
- Write and optimize HiveQL queries
- Use Hive functions, views, and metastore
Hadoop Fundamentals & Architecture20%- HDFS operations and file management
- YARN architecture and job execution
- MapReduce concepts and job lifecycle

Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

Question #1

Given the following Pig command:
logevents = LOAD 'input/my.log' AS (date:chararray, levehstring, code:int, message:string);
Which one of the following statements is true?

  • A. The logevents relation represents the data from the my.log file, using a tab as the parsing delimiter
  • B. The statement is not a valid Pig command
  • C. The logevents relation represents the data from the my.log file, using a comma as the parsing delimiter
  • D. The first field of logevents must be a properly-formatted date string or table return an error
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #2

In the reducer, the MapReduce API provides you with an iterator over Writable values. What does calling the next () method return?

  • A. It returns a reference to a Writable object from an object pool.
  • B. It returns a reference to the same Writable object each time, but populated with different data.
  • C. It returns a reference to a different Writable object time.
  • D. It returns a reference to the same Writable object if the next value is the same as the previous value, or a new Writable object otherwise.
  • E. It returns a reference to a Writable object. The API leaves unspecified whether this is a reused object or a new object.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #3

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. 64
  • B. 640
  • C. 100
  • D. 200
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #4

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. No, MapReduce cannot perform relational operations.
  • B. No, but it can be done with either Pig or Hive.
  • C. Yes, but only if one of the tables fits into memory
  • D. Yes, so long as both tables fit into memory.
  • E. Yes.
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

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Question #5

Which one of the following classes would a Pig command use to store data in a table defined in HCatalog?

  • A. org.apache.hcatalog.pig.HCatOutputFormat
  • B. org.apache.hcatalog.pig.HCatStorer
  • C. Pig scripts cannot use an HCatalog table
  • D. No special class is needed for a Pig script to store data in an HCatalog table
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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