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 09, 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 09, 2026
  • Q & A: 110 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $99.98  $69.99
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Apache-Hadoop-Developer Testing Engine
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Sep 09, 2026
  • Q & A: 110 Questions and Answers
  • Software Price: $49.99
  • Testing Engine

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

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

Question #1

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

Correct Answer: E  🗳️

Question #2

You have a directory named jobdata in HDFS that contains four files: _first.txt, second.txt, .third.txt and #data.txt. How many files will be processed by the FileInputFormat.setInputPaths () command when it's given a path object representing this directory?

  • A. None, the directory cannot be named jobdata
  • B. One, no special characters can prefix the name of an input file
  • C. Three, the pound sign is an invalid character for HDFS file names
  • D. Four, all files will be processed
  • E. Two, file names with a leading period or underscore are ignored
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

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Question #3

Given the following Hive command:

Which one of the following statements is true?

  • A. The files in the mydata folder are moved to a subfolder of /apps/hive/wa re house
  • B. The files in the mydata folder are copied to a subfolder of /apps/hlve/warehouse
  • C. The files in the mydata folder are copied into Hive's underlying relational database
  • D. The files in the mydata folder do not move from their current location In HDFS
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #4

Determine which best describes when the reduce method is first called in a MapReduce job?

  • A. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called as soon as the intermediate key-value pairs start to arrive.
  • B. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.
  • C. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called only after all intermediate data has been copied and sorted.
  • D. Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #5

Assuming the following Hive query executes successfully:

Which one of the following statements describes the result set?

  • A. A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input data A1 table.
  • B. A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of the inputdata table.
  • C. A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column of the inputdata table.
  • D. An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the inputdata table.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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