Hortonworks Apache-Hadoop-Developer dumps - in .pdf

Apache-Hadoop-Developer pdf
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Sep 21, 2026
  • Q & A: 110 Questions and Answers
  • PDF Price: $49.99
  • Free Demo

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  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Sep 21, 2026
  • Q & A: 110 Questions and Answers
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  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Sep 21, 2026
  • Q & A: 110 Questions and Answers
  • Software Price: $49.99
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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Hadoop Fundamentals & Architecture20%- MapReduce concepts and job lifecycle
- YARN architecture and job execution
- HDFS operations and file management
Topic 2: Apache Hive Development25%- Create and manage Hive tables, partitions, and buckets
- Write and optimize HiveQL queries
- Use Hive functions, views, and metastore
Topic 3: Apache Pig Development30%- Data transformation, filtering, joining, and aggregation
- Debug and tune Pig jobs
- Write and optimize Pig Latin scripts
Topic 4: Data Ingestion25%- Ingest streaming data with Flume
- Load data into HDFS from external sources
- Import/export data using Sqoop

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

Question #1

Examine the following Hive statements:

Assuming the statements above execute successfully, which one of the following statements is true?

  • A. The contents of File1 are parsed as comma-delimited rows and stored in a database
  • B. The contents of File1 are parsed as comma-delimited rows and loaded into /user/joe/x/
  • C. Hive reformats File1 into a structure that Hive can access and moves into to/user/joe/x/
  • D. The file named File1 is moved to to/user/joe/x/
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #2

What types of algorithms are difficult to express in MapReduce v1 (MRv1)?

  • A. Algorithms that require applying the same mathematical function to large numbers of individual binary records.
  • B. Relational operations on large amounts of structured and semi-structured data.
  • C. Algorithms that require global, sharing states.
  • D. Large-scale graph algorithms that require one-step link traversal.
  • E. Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for ValidTorrent members. You can sign-up / login (it's free).

Question #3

Consider the following two relations, A and B.

A Pig JOIN statement that combined relations A by its first field and B by its second field would produce what output?

  • A. 2 cherry Jim 2 2 cherry Chris 2 3 orange Terry 3 4 peach Brian 4
  • B. 2 cherry 2 cherry 3 orange 4 peach
  • C. 2 cherry Jim, Chris 3 orange Terry 4 peach Brian
  • D. 2 Jim Chris 2 3 Terry 3 4 Brian 4
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #4

Which best describes how TextInputFormat processes input files and line breaks?

  • A. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the beginning of the broken line.
  • B. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of both splits containing the broken line.
  • C. The input file is split exactly at the line breaks, so each RecordReader will read a series of complete lines.
  • D. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the end of the broken line.
  • E. Input file splits may cross line breaks. A line that crosses file splits is ignored.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #5

You need to move a file titled "weblogs" into HDFS. When you try to copy the file, you can't. You know you have ample space on your DataNodes. Which action should you take to relieve this situation and store more files in HDFS?

  • A. Increase the amount of memory for the NameNode.
  • B. Increase the block size on your remaining files.
  • C. Increase the number of disks (or size) for the NameNode.
  • D. Decrease the block size on your remaining files.
  • E. Decrease the block size on all current files in HDFS.
  • F. Increase the block size on all current files in HDFS.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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