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Download AKTU B-Tech 6th Sem 2017-2018 NIT 067 Big Data Question Paper

Download AKTU (Dr. A.P.J. Abdul Kalam Technical University (AKTU), formerly Uttar Pradesh Technical University (UPTU) B-Tech 6th Semester (Sixth Semester) 2017-2018 NIT 067 Big Data Question Paper

This post was last modified on 29 January 2020

AKTU B-Tech Last 10 Years 2010-2020 Previous Question Papers || Dr. A.P.J. Abdul Kalam Technical University


Printed Pages: 2

Paper Id: 13627

Sub Code: NIT-067

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Roll No.

Time: 3 Hours

B. TECH.

(SEM VI) THEORY EXAMINATION 2017-18

BIG DATA

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Note: Attempt all Sections. If require any missing data; then choose suitably.

SECTION A

Attempt all questions in brief.

  1. a. What is big data, why we need to analyze big data?

  2. b. Define "Data Locality Optimization”.

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  3. c. List down the tools related with Hadoop.

  4. d. State the purpose of Hadoop Pipes.

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  6. e. What is map reducing?

  7. f. Write the difference between operational and analytical system.

  8. g. Explain Hadoop distributed file system.

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  9. h. Write down any four industry examples for Big Data.

  10. i. List down the entity of YARN.

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  12. j. What is Hadoop architecture?

2 x 10 = 20

SECTION B

Attempt any three of the following:

  1. a. Why crowd sourcing analytics needed? Explain.

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  2. b. Illustrate on how cloud and big data related to each other.

  3. c. Discuss the design of Hadoop Distributed File System (HDFS) in detail.

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  5. d. Discuss the queries involved in Hive data definition.

  6. e. Write in detail about Hbase data model and pig data model.

10 x 3 = 30

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SECTION C

  1. Attempt any one part of the following:

    1. How does Hadoop system analyze data? Explain your answer with example.

    2. Explain Cassandra data model.

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    10 x 1 = 10

  2. Attempt any one part of the following:

    1. Explain the Anatomy of MapReduce job run.

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    3. Discuss the different types and formats of Map Reduce with examples.

    10 x 1 = 10

  3. Attempt any one part of the following:

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    1. With the help of a Data Model explain aggregations and relations.

    2. Write a brief note on composing map-reduce calculation.

    10 x 1 = 10

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  4. Attempt any one part of the following:

    1. Explain Master slave and peer-peer replication in detail.

    2. Discuss about the three dimensions of Big Data.

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    10 x 1 = 10

  5. Attempt any one part of the following:

    1. Describe about graph database and schema less databases.

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    2. Elaborate on graph mapping schemas. What do you mean by lower bounds replication rate?

    10 x 1 = 10

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Total Marks: 100



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This download link is referred from the post: AKTU B-Tech Last 10 Years 2010-2020 Previous Question Papers || Dr. A.P.J. Abdul Kalam Technical University