Exam Details
Subject | big data | |
Paper | ||
Exam / Course | mca(integrated) | |
Department | ||
Organization | Gujarat Technological University | |
Position | ||
Exam Date | May, 2019 | |
City, State | gujarat, ahmedabad |
Question Paper
1
Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA Integrated- SEMESTER-VIII EXAMINATION SUMMER-2019
Subject Code: 4480601 Date: 02-05-2019
Subject Name: Big Data
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
Do as direct
1. Define term: Data Set
2. CSFs Stands
3. What do you mean by Digitization?
4. What are clusters?
5. Replication stores multiple copies of a dataset, known as on multiple nodes.
6. ESP Stands
7. What are heat maps?
07
What is Big data? Explain different characteristics of big data in brief.
07
Q.2
What is data? Explain different Types of Data in brief.
07
Explain Replication in brief.
07
OR
Explain IOE.
(ii)differentiate between file system and distributed file system
04
03
Q.3
Explain Map and Reduce tasks in brief.
07
Give the different between ACID V/s BASE.
07
OR
Q.3
What is statistical analysis? Explain A/B testing ,correlation and regression.
07
Define HDFS. Discuss the HDFS Architecture and HDFS Commands in
Brief.
07
Q.4
Explain mongoimport, mongoexport, mongodump.
07
Write a shot note on Big Data BI.
07
OR
Q.4
What is Processing workload? Explain types of workloads in brief.
07
Explain Machine learning in brief.
07
Q.5
What is SCV? Explain SCV with Venn diagram.
07
Explain CRUD operations in MongoDB.
07
OR
Q.5
Explain Big data analytics Lifecycle.
07
What do you mean by CAP theorem? Explain in brief.
07
Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA Integrated- SEMESTER-VIII EXAMINATION SUMMER-2019
Subject Code: 4480601 Date: 02-05-2019
Subject Name: Big Data
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
Do as direct
1. Define term: Data Set
2. CSFs Stands
3. What do you mean by Digitization?
4. What are clusters?
5. Replication stores multiple copies of a dataset, known as on multiple nodes.
6. ESP Stands
7. What are heat maps?
07
What is Big data? Explain different characteristics of big data in brief.
07
Q.2
What is data? Explain different Types of Data in brief.
07
Explain Replication in brief.
07
OR
Explain IOE.
(ii)differentiate between file system and distributed file system
04
03
Q.3
Explain Map and Reduce tasks in brief.
07
Give the different between ACID V/s BASE.
07
OR
Q.3
What is statistical analysis? Explain A/B testing ,correlation and regression.
07
Define HDFS. Discuss the HDFS Architecture and HDFS Commands in
Brief.
07
Q.4
Explain mongoimport, mongoexport, mongodump.
07
Write a shot note on Big Data BI.
07
OR
Q.4
What is Processing workload? Explain types of workloads in brief.
07
Explain Machine learning in brief.
07
Q.5
What is SCV? Explain SCV with Venn diagram.
07
Explain CRUD operations in MongoDB.
07
OR
Q.5
Explain Big data analytics Lifecycle.
07
What do you mean by CAP theorem? Explain in brief.
07
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