Exam Details

Subject big data technologies
Paper
Exam / Course mca
Department
Organization apj abdul kalam technological university
Position
Exam Date April, 2018
City, State kerala, thiruvananthapuram


Question Paper

B BC402 Pages: 1
Page 1 of 1
Reg.
APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY
SECOND SEMESTER (Second Year Direct)
FOURTH SEMESTER (Regular) MCA DEGREE EXAMINATION, APRIL 2018
Course Code: RLMCA 204
Course Name: BIG DATA TECHNOLOGIES
Max. Marks: 60 Duration: 3 Hours
PART A
Answer all questions. Each question carries 3 marks
1. What do the four denote? Discuss.
2. How distributed file systems helps Big Data storage?
3. On what concept the Hadoop framework works?
4. What are the main components of a Hadoop Application?
5. Summarize the uses of Map Reduce.
6. How in memory data grid helps in Big Data?
7. Discuss about RDBMS.
8. Compare and contrast correlation and regression.
PART B
Answer any one from each question. Each question carries 6 marks
9. a. How analytical approaches work in Big Data?
OR
b. Classify the types of data.
10. a. Differentiate between Sharding and replication.
OR
b. Contrast CAP, BASE and ACID theorem.
11. a. Write a short note on HBase.
OR
b. Exemplify Hadoop Ecosystem.
12. a. Explore the techniques that optimize the working of MapReduce.
OR
b. Execute the working of MapReduce Algorithm.
13. a. Interpret the NoSQL databases.
OR
b. Specify the cases where in memory storage devices are appropriate.
14. a. Recognize the types of semantic analysis.
OR
b. Classify the statistical analysis methods.



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  • advanced database systems
  • advanced java programming
  • application development andmaintenance
  • applied probability and statistics
  • applied statistics lab
  • big data technologies
  • business intelligence and its applications
  • computational science
  • computer networks
  • computer organization andarchitecture
  • data structures
  • data structures lab
  • database lab
  • database managementsystems
  • design and analysis of parallel algorithms
  • design and analysis ofalgorithms
  • digital fundamentals
  • discrete mathematics
  • elective i
  • functional programming
  • introduction to machine learning
  • mobile application developmentlab
  • mobile computing
  • object oriented programming
  • object oriented programminglab
  • operating systems
  • operations research
  • principles of management
  • problem solving and computer programming
  • programming lab
  • software engineering
  • system design lab
  • web programming
  • web programming lab