Exam Details

Subject big data analytics (bda)
Paper
Exam / Course mca
Department
Organization Gujarat Technological University
Position
Exam Date November, 2018
City, State gujarat, ahmedabad


Question Paper

Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA SEMESTER V EXAMINATION WINTER 2018
Subject Code: 3650004 Date: 26/11/2018
Subject Name: Big Data Analytics
Time: 10.30 am to 1.00 pm Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q 1

Answer the following:
1. What is Big Data? Give some example of Big Data.
2. What is "Block" in HDFS?
3. Give the full form of ATS.
4. Find Jaccard Distance between following: and 7}.
5. Define One Time Queries
6. What is Plagiarism?
7. What id Concept drift?
07

What is Big Data Analytics? Explain the characteristics of Big Data.
07
Q 2

1. Write a short note on Core Hadoop Components.
2. List Types of Big Data and Give appropriate example.
05
02

Explain types of NoSQL Data Stores in detail.
07
OR

Explain Hadoop Ecosystem in brief with figure.
07
Q 3

1. What are the business drivers of NoSQL?
2. Explain CAP Theorem.
05
02

Explain the working of Map Reduce phases with example.
07
OR
Q 3

1. Explain Collaborative Filtering as a Similar Sets Problem.
2. What is NN Search? Discuss the Applications of NN Search.
05
02

What are the various Distance Measures to check similarity of objects?
07
Q 4

1. Explain Bloom Filter with Example.
2. What are the Applications of Data Stream?
05
02

Explain Cloaking techniques of Spamming in detail.
07
OR
Q 4

1. Explain Social Network as a graph.
2. Define: Page Rank and Topic Sensitive Page Rank.
05
02

Write a short note on Data Stream Samplings.
07
Q 5

1. Discuss Frequent Item Set Mining Applications in brief.
2. Name two applications of Social Network Mining.
05
02

Write a short note on Content Based Recommendation System.
07
OR
Q 5

1. Discuss in detail Types of Social Networks.
2. Compare Lexical Similarity and Semantic Similarity of document.
05
02

Discuss the Applications of Clustering.
07


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Subjects

  • advance database management system
  • advanced biopharmaceutics & pharmacokinetics
  • advanced medicinal chemistry
  • advanced networking (an)
  • advanced organic chemistry -i
  • advanced pharmaceutical analysis
  • advanced pharmacognosy-1
  • advanced python
  • android programming
  • artificial intelligence (ai)
  • basic computer science-1(applications of data structures and applications of sql)
  • basic computer science-2(applications of operating systems and applications of systems software)
  • basic computer science-3(computer networking)
  • basic computer science-4(software engineering)
  • basic mathematics
  • basic statistics
  • big data analytics (bda)
  • big data tools (bdt)
  • chemistry of natural products
  • cloud computing (cc)
  • communications skills (cs)
  • computer aided drug delivery system
  • computer graphics (cg)
  • computer-oriented numerical methods (conm)
  • cyber security & forensics (csf)
  • data analytics with r
  • data mining
  • data structures (ds)
  • data visualization (dv)
  • data warehousing
  • data warehousing & data mining
  • database administration
  • database management system (dbms)
  • design & analysis of algorithms(daa)
  • digital technology trends ( dtt)
  • discrete mathematics for computer science (dmcs)
  • distributed computing (dc1)
  • drug delivery system
  • dynamic html
  • enterprise resource planning (erp)
  • food analysis
  • function programming with java
  • fundamentals of computer organization (fco)
  • fundamentals of java programming
  • fundamentals of networking
  • fundamentals of programming (fop)
  • geographical information system
  • image processing
  • industrial pharmacognostical technology
  • information retrieving (ir)
  • information security
  • java web technologies (jwt)
  • language processing (lp)
  • machine learning (ml)
  • management information systems (mis)
  • mobile computing
  • molecular pharmaceutics(nano tech and targeted dds)
  • network security
  • object-oriented programming concepts & programmingoocp)
  • object-oriented unified modelling
  • operating systems
  • operation research
  • operations research (or)
  • pharmaceutical validation
  • phytochemistry
  • procedure programming in sql
  • programming skills-i (ps-i-fop)
  • programming skills-ii (ps-oocp)
  • programming with c++
  • programming with java
  • programming with linux, apache,mysql, and php (lamp)
  • programming with python
  • search engine techniques (set)
  • soft computing
  • software development for embedded systems
  • software engineering
  • software lab (dbms: sql & pl/sql)
  • software project in c (sp-c)
  • software project in c++ (sp-cpp)
  • software quality and assurance (sqa)
  • statistical methods
  • structured & object oriented analysis& design methodology
  • system software
  • virtualization and application of cloud
  • web commerce (wc)
  • web data management (wdm)
  • web searching technology and search engine optimization
  • web technology & application development
  • wireless communication & mobile computing (wcmc)
  • wireless sensor network (wsn)