Roll No.
Total No. of Pages : 02
Total No. of Questions: 18
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B.Tech. (CSE) (2012 to 2017 E-III) (Sem.-7)
BIG DATA
Subject Code: BTCS-914
M.Code: 71906
Time: 3 Hrs.
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Max. Marks : 60
INSTRUCTION TO CANDIDATES :
- SECTION-A is COMPULSORY consisting of TEN questions carrying TWO marks each.
- SECTION-B contains FIVE questions carrying FIVE marks each and students have to attempt any FOUR questions.
- SECTION-C contains THREE questions carrying TEN marks each and students have to attempt any TWO questions.
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SECTION-A
Explain the following in brief :
- What is Big data? Why we need Big Data?
- What is JSON?
- What are the challenges of Big Data?
- What are the limitations of conventional systems?
- What is HDFS?
- Explain machine learning.
- What is JAQL?
- What is PIG?
- What is hive used for?
- How does Map function work?
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SECTION-B
- What are the 3 V's of Big data? Explain with the help of two big data case studies.
- Explain Issues in Data stream query processing.
- How are BI tools used to create big data applications? Explain with examples.
- What is indexing? What are the techniques used for indexing?
- Explain:
- Clustering
- Classification
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SECTION-C
- a. Explain HDFS architecture with diagram.
b. Explain GPFS architecture with diagram. - How recommendation is done on properties of product? Explain with suitable example.
- a. Explain scaling in MongoDB.
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b. Explain CRUD operations in MongoDB.
NOTE: Disclosure of Identity by writing Mobile No. or Making of passing request on any page of Answer Sheet will lead to UMC against the Student.
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