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Download JNTUK M-Tech 2020 R19 IT Big Data Analytics Model Question Paper

Download JNTUK (Jawaharlal Nehru Technological University Kakinada (JNTU kakinada)) M.Tech (ME is Master of Engineering) 2020 R19 IT Big Data Analytics Model Previous Question Paper

This post was last modified on 28 April 2020

JNTUK M.Tech R19 2020 Model Question Papers || JNTU kakinada (All Branches)


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[M19 IT 1108]

I M. Tech I Semester (R19) Regular Examinations

BIG DATA ANALYTICS

Department of Information Technology

MODEL QUESTION PAPER

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TIME: 3 Hrs. Max. Marks: 75 M

Answer ONE Question from EACH UNIT

All questions carry equal marks


CO | KL

UNIT -1

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  1. a). Implement Simple Java Program using Generic Types. Explain Generic Types. 1 3
  2. b). Differentiate Stacks and Queues. 1 2

OR

  1. a). Explain the concept of serialization. 1 2
  2. b). Discuss abt Generic Variables with examples 1 2
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UNIT - II

  1. a). Explain abt Google File System 2 2
  2. b). Explain the architecture of Building blocks of Hadoop. 2 2

OR

  1. a). Mention the configuration of Hadoop Cluster-using Fully Distributed Mode in detail 2 2
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  3. b). Name different configuration files in Hadoop? 2 2

UNIT - III

  1. a). Explain how matrix multiplication is carried using Map Reduce algorithm 3 2
  2. b). Write abt Driver Code in Hadoop MapReduce. 3 2

OR

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  1. a). Describe the old and new Java MapReduce APIs 3 2
  2. b). How to specify a combiner function? Write a program on application to find the maximum temperature, using a combiner function for efficiency. 3 2

UNIT - IV

  1. a). Explain abt the Writable wrappers for Java primitives. 4 2
  2. b). What is writable comparable interface? 4 2
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OR

  1. a). Write briefly abt Writable Concepts 4 2
    1. Text
    2. Bytes writable
  2. b). Explain abt the implementation of raw comparator and custom raw comparator with an example. 4 2
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UNIT - V

  1. a). Write a brief notes on distributed modes of running PIG Scripts. 5 2
  2. b). How to create and Manage the database and tables using Hive 5 2

OR

  1. a). Illustrate the Architecture of PIG 5 2
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  3. b). Explain how the Data Manipulation Language Works. 5 2

CO: Crse Outcome KL: Knowledge Level M: Marks

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