Download GTU BE/B.Tech 2017 Winter 7th Sem New 2171607 Big Data Analytics Departmental Elective Ii Question Paper

Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2017 Winter 7th Sem New 2171607 Big Data Analytics Departmental Elective Ii Previous Question Paper

1
Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY

BE - SEMESTER ?VII (NEW) EXAMINATION ? WINTER 2017
Subject Code: 2171607 Date:02/11/2017

Subject Name: Big Data Analytics(Departmental Elective - II)

Time: 10:30 AM TO 01:00 PM Total Marks: 70

Instructions:

1. Attempt all questions.

2. Make suitable assumptions wherever necessary.

3. Figures to the right indicate full marks.


MARKS

Q.1 (a) How Big Data Analytics can be useful in the development of smart
cities.
03
(b) What is Big data? Discuss it in terms of volume and velocity.




04
(c) What are the advantages of Hadoop? Explain Hadoop Architecture
and its Components with proper diagram.
07

Q.2 (a) Explain Storage mechanism in HBase. 03
(b) In Map Reduce how Job Scheduling is done in case of the Fair
Scheduler?
04
(c) Draw and explain HDFS Architecture. Explain the function of
NameNode and DataNode. What is a Secondary Namenode? Is it a
substitute to the Namenode?
07
OR
(c) Explain following commands of HDFS with syntax and at least one
example of each.
(i) get (ii) cp (iii) chown
07
Q.3 (a) Explain Metastore in Hive. 03
(b) Explain Map-reduce framework in brief. 04
(c) Explain the concept of Blocks and Heartbeat Message in HDFS
Architecture. What are the benefits of block transfer?
07
OR
Q.3 (a) What is Zookeeper? List the benefits of it. 03
(b) Explain the 5 P?s of Data science in brief. 04
(c) Explain Spark components in detail. Also list the features of spark. 07
Q.4 (a) Differentiate NoSQL and relational databases? 03
(b) What do you mean by HiveQL Data Definition Language? 04
(c) Explain following for MongoDB.
(i) Indexing (ii) Aggregation
07
OR
Q.4 (a) Explain any three HiveQL DDL command with its syntax and
example.
03
(b) Explain scaling feature of MongoDB. 04
(c) What are the problems related to Map Reduce data storage? How
Apache Spark solves it using Resilient Distributed Dataset? Explain
RDDs in detail.
07
Q.5 (a) Compare Raw oriented and Column Oriented database structures. 03
(b) Discuss how Pig data model will help in effective data flow. 04
(c) Explain how HBase uses Zookeeper to Build Applications with
Zookeeper.
07
OR
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1
Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY

BE - SEMESTER ?VII (NEW) EXAMINATION ? WINTER 2017
Subject Code: 2171607 Date:02/11/2017

Subject Name: Big Data Analytics(Departmental Elective - II)

Time: 10:30 AM TO 01:00 PM Total Marks: 70

Instructions:

1. Attempt all questions.

2. Make suitable assumptions wherever necessary.

3. Figures to the right indicate full marks.


MARKS

Q.1 (a) How Big Data Analytics can be useful in the development of smart
cities.
03
(b) What is Big data? Discuss it in terms of volume and velocity.




04
(c) What are the advantages of Hadoop? Explain Hadoop Architecture
and its Components with proper diagram.
07

Q.2 (a) Explain Storage mechanism in HBase. 03
(b) In Map Reduce how Job Scheduling is done in case of the Fair
Scheduler?
04
(c) Draw and explain HDFS Architecture. Explain the function of
NameNode and DataNode. What is a Secondary Namenode? Is it a
substitute to the Namenode?
07
OR
(c) Explain following commands of HDFS with syntax and at least one
example of each.
(i) get (ii) cp (iii) chown
07
Q.3 (a) Explain Metastore in Hive. 03
(b) Explain Map-reduce framework in brief. 04
(c) Explain the concept of Blocks and Heartbeat Message in HDFS
Architecture. What are the benefits of block transfer?
07
OR
Q.3 (a) What is Zookeeper? List the benefits of it. 03
(b) Explain the 5 P?s of Data science in brief. 04
(c) Explain Spark components in detail. Also list the features of spark. 07
Q.4 (a) Differentiate NoSQL and relational databases? 03
(b) What do you mean by HiveQL Data Definition Language? 04
(c) Explain following for MongoDB.
(i) Indexing (ii) Aggregation
07
OR
Q.4 (a) Explain any three HiveQL DDL command with its syntax and
example.
03
(b) Explain scaling feature of MongoDB. 04
(c) What are the problems related to Map Reduce data storage? How
Apache Spark solves it using Resilient Distributed Dataset? Explain
RDDs in detail.
07
Q.5 (a) Compare Raw oriented and Column Oriented database structures. 03
(b) Discuss how Pig data model will help in effective data flow. 04
(c) Explain how HBase uses Zookeeper to Build Applications with
Zookeeper.
07
OR
2
Q.5 (a) What is Spark? 03
(b) Differentiate: Apache pig Vs Map Reduce. 04
(c) Explain CRUD operations in MongoDB. 07



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