Hortonworks Apache-Hadoop-Developer Q&A - 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 06, 2026
  • Q & A: 110 Questions and Answers
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  • 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
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  • Q & A: 110 Questions and Answers
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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Data Ingestion- Import data into Hadoop
  • 1. Use Sqoop for relational data import
  • 2. Use Flume for log and event data ingestion
Data Analysis with Hive- Hive query development
  • 1. Write queries, joins, aggregations and partitions
  • 2. Create and manage databases and tables
Data Processing- End-to-end Hadoop workflows
  • 1. Analyze structured and semi-structured data
  • 2. Produce required output using Hadoop ecosystem tools
Data Transformation with Pig- Pig Latin programming
  • 1. Transform and process datasets
  • 2. Load, filter, join, group and aggregate data

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

Question #1

Which one of the following statements regarding the components of YARN is FALSE?

  • A. A client application submits a YARW job to the ResourceManager
  • B. The ResourceManager monitors and restarts any failed Containers
  • C. The ResourceManager is responsible for scheduling and allocating resources
  • D. A Container executes a specific task as assigned by the ApplicationMaster
Answer: B
Question #2

Which one of the following Hive commands uses an HCatalog table named x?

  • A. SELECT * FROM x;
  • B. SELECT * FROM org.apache.hcatalog.hive.HCatLoader('x');
  • C. SELECT x.-FROM org.apache.hcatalog.hive.HCatLoader('x');
  • D. Hive commands cannot reference an HCatalog table
Answer: B
Question #3

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. Reducer <Text, Text, IntWritable, IntWritable>
  • B. Combiner <Text, IntWritable, Text, IntWritable>
  • C. Mapper <Text, IntWritable, Text, IntWritable>
  • D. Reducer <Text, IntWritable, Text, IntWritable>
  • E. Combiner <Text, Text, IntWritable, IntWritable>
Answer: D
Question #4

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.
Answer: C
Question #5

You need to run the same job many times with minor variations. Rather than hardcoding all job configuration options in your drive code, you've decided to have your Driver subclass org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?

  • A. hadoop setproperty mapred.job.name=Example MyDriver input output
  • B. hadoop MyDriver mapred.job.name=Example input output
  • C. hadoop MyDrive -D mapred.job.name=Example input output
  • D. hadoop "mapred.job.name=Example" MyDriver input output
  • E. hadoop setproperty ("mapred.job.name=Example") MyDriver input output
Answer: C

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