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: Jun 07, 2026
  • Q & A: 110 Questions and Answers
  • PDF Price: $49.99

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  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Jun 07, 2026
  • Q & A: 110 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $99.98  $69.99
  • Save 50%

Hortonworks Apache-Hadoop-Developer dumps - Testing Engine

Apache-Hadoop-Developer Testing Engine
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Jun 07, 2026
  • Q & A: 110 Questions and Answers
  • Software Price: $49.99
  • Testing Engine

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Instant Download Apache-Hadoop-Developer Exam

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

1. To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the best way to accomplish this?

A) Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
B) Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
C) Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
D) Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.


2. Indentify which method in the Mapper you should use to implement code for reading the file and populating the associative array?

A) configure
B) combine
C) map
D) init


3. In a MapReduce job, you want each of your input files processed by a single map task. How do you configure a MapReduce job so that a single map task processes each input file regardless of how many blocks the input file occupies?

A) Write a custom MapRunner that iterates over all key-value pairs in the entire file.
B) Increase the parameter that controls minimum split size in the job configuration.
C) Write a custom FileInputFormat and override the method isSplitable to always return false.
D) Set the number of mappers equal to the number of input files you want to process.


4. Which one of the following statements describes the relationship between the NodeManager and the ApplicationMaster?

A) The NodeManager requests resources from the ApplicationMaster
B) The NodeManager creates an instance of the ApplicationMaster
C) The ApplicationMaster starts the NodeManager in a Container
D) The ApplicationMaster starts the NodeManager outside of a Container


5. What are the TWO main components of the YARN ResourceManager process? Choose 2 answers

A) Applications Manager
B) Job Tracker
C) Task Tracker
D) Scheduler


Solutions:

Question # 1
Answer: A
Question # 2
Answer: A
Question # 3
Answer: C
Question # 4
Answer: B
Question # 5
Answer: A,D

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