Exam Details
| Subject | big data | |
| Paper | ||
| Exam / Course | mca(integrated) | |
| Department | ||
| Organization | Gujarat Technological University | |
| Position | ||
| Exam Date | November, 2018 | |
| City, State | gujarat, ahmedabad |
Question Paper
1
Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA Integrated SEMESTER- VIII • EXAMINATION WINTER 2018
Subject Code:4480601 Date:16/11/2018
Subject Name: Big Data
Time: 02.30 pm to 5.00 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:
Define the terms: "consistent hashing" and "object versioning".
02
State any two techniques of machine learning.
02
Compare parallel data processing and distributed data processing.
03
Answer the following:
What is NoSQL?
01
What is replication? State its types.
03
Explain the term "sharding" along with an appropriate example.
03
Q.2
Define data analytics and explain its categories in detail.
07
What is Business Architecture? Explain how Big Data is related to it at various levels of the organization.
07
OR
State the phases of Big Data analytics lifecycle.
04
Differentiate between traditional BI and Big Data BI.
03
Q.3
What is sorted ordered column-oriented store? Explain how it differs from an RDBMS along with an appropriate example.
07
Describe the distributed storage architecture of HBASE along with appropriate diagram.
07
OR
Q.3
What is MongoDB? Explain how MongoDB achieves horizontal scaling.
07
Describe how MapReduce is implemented in MongoDB.
07
Q.4
Explain why MapReduce is not suitable for real-time data processing. How can it be enabled to work in a near-real-time scenario?
07
Describe SCV principal in detail.
07
OR
Q.4
What is MapReduce? State the key considerations while developing a MapReduce algorithm.
07
Explain the concepts "task parallelism" and "data parallelism" along with appropriate example. Which of these concepts is adopted by MapReduce?
07
Q.5
Explain correlation and regression analysis along with appropriate example.
07
State and explain the types of data analysis in brief.
07
OR
Q.5
What is visual analysis? Explain its types in brief.
07
Explain the process of importing and exporting data in MongoDB along with appropriate example.
07
Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA Integrated SEMESTER- VIII • EXAMINATION WINTER 2018
Subject Code:4480601 Date:16/11/2018
Subject Name: Big Data
Time: 02.30 pm to 5.00 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:
Define the terms: "consistent hashing" and "object versioning".
02
State any two techniques of machine learning.
02
Compare parallel data processing and distributed data processing.
03
Answer the following:
What is NoSQL?
01
What is replication? State its types.
03
Explain the term "sharding" along with an appropriate example.
03
Q.2
Define data analytics and explain its categories in detail.
07
What is Business Architecture? Explain how Big Data is related to it at various levels of the organization.
07
OR
State the phases of Big Data analytics lifecycle.
04
Differentiate between traditional BI and Big Data BI.
03
Q.3
What is sorted ordered column-oriented store? Explain how it differs from an RDBMS along with an appropriate example.
07
Describe the distributed storage architecture of HBASE along with appropriate diagram.
07
OR
Q.3
What is MongoDB? Explain how MongoDB achieves horizontal scaling.
07
Describe how MapReduce is implemented in MongoDB.
07
Q.4
Explain why MapReduce is not suitable for real-time data processing. How can it be enabled to work in a near-real-time scenario?
07
Describe SCV principal in detail.
07
OR
Q.4
What is MapReduce? State the key considerations while developing a MapReduce algorithm.
07
Explain the concepts "task parallelism" and "data parallelism" along with appropriate example. Which of these concepts is adopted by MapReduce?
07
Q.5
Explain correlation and regression analysis along with appropriate example.
07
State and explain the types of data analysis in brief.
07
OR
Q.5
What is visual analysis? Explain its types in brief.
07
Explain the process of importing and exporting data in MongoDB along with appropriate example.
07
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