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Semester - 7-Big Data Analytics

This document outlines the structure and instructions for the Regular/Supplementary Winter Examination 2024 for B.Tech students in Computer Engineering/Computer Science at Dr. Babasaheb Ambedkar Technological University. It details the subject Big Data Analytics, including the exam format, compulsory questions, and various topics to be covered in the exam. Students are required to answer objective-type questions and select from a range of problem-solving questions related to big data concepts, HDFS architecture, machine learning, and MongoDB.

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siddharth
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0% found this document useful (0 votes)
58 views3 pages

Semester - 7-Big Data Analytics

This document outlines the structure and instructions for the Regular/Supplementary Winter Examination 2024 for B.Tech students in Computer Engineering/Computer Science at Dr. Babasaheb Ambedkar Technological University. It details the subject Big Data Analytics, including the exam format, compulsory questions, and various topics to be covered in the exam. Students are required to answer objective-type questions and select from a range of problem-solving questions related to big data concepts, HDFS architecture, machine learning, and MongoDB.

Uploaded by

siddharth
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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DR.

BABASAHEB AMBEDKAR TECHNOLOGICAL UNIVERSITY, LONERE


Regular/Supplementary Winter Examination – 2024
Course: B.Tech Branch : Computer Engineering/Computer Science & Engineering
Subject Code & Name: BTCOE703C Big Data Analytics Semester : VII
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Max Marks: 60 Date: 10/02/2025 Duration: 3 Hr.
Instructions to the Students:
1. Each question carries 12 marks.
2. Question No. 1 will be compulsory and include objective-type questions.
3. Candidates are required to attempt any four questions from Question No. 2 to Question No. 6.
4. The level of question/expected answer as per OBE or the Course Outcome (CO) on which the
question is based is mentioned in ( ) in front of the question.
5. Use of non-programmable scientific calculators is allowed.
6. Assume suitable data wherever necessary and mention it clearly.
(Level/CO) Marks
Q. Objective type questions. (Compulsory Question) 12
1
1 Transaction of data of the bank is a type of -----------. L1/CO1 1
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a.Unstructure b.Structured data c. Social data d. Machine
d data Data
2 _________ is the slave/worker node and holds the user data in the L1/CO3 1
form of Data Blocks.
a.DataNode b. NameNode c.Data block d. Replication
3 The __________ is responsible for allocating resources to the various L2/CO2 1
running applications subject to familiar constraints of capacities,
queues.
a.Manager b. Master c. Tracker d. Scheduler
4 How much will bytes for 1Petabytes L3/CO1 1
5 4 6
a.1024bytes b. 1024 bytes c. 1024 bytes d. 1024 bytes
5 In case of Yet Another Resourse Negotiator (YARN), the L2/CO2 1
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___________ User Interface provides host and port information.


a.Data Node b. Name Node c. Replication d. Resource
Manager
6 Kafka is comparable to traditional messaging systems such as L2/CO3 1
_____________
a.Impala b. Zookeeper c. ActiveMQ d.BigTop
7 Mapper implementations are passed the JobConf for the job via the L3/CO2 1
________ method.
a. b. c. d.
JobConfigure JobConfigurable. JobConfigurabl JobMapConfig
.configure configurable e.configure ure.configure
8 Mahout provides an implementation of a __________ identification L2/CO4 1

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algorithm which scores collocations using log-likelihood ratio.
a.collocation b.compaction c.collection d. Corelation
9 What is mean by “collection” in MongoDB? L2/CO5 1
a.A group of b. A group of c. A single d. A type of
tables documents document index
10 ______________ leverages Spark Core fast scheduling capability to L2/CO3 1
perform streaming analytics.
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a.MLlib b. GraphX c. Index d. Spark
Streaming
11 Which of the following format is supported by MongoDB? L2/CO5 1
a. BSON b. XML c.SQL d. NoSQL
12 ________ is a distributed graph processing framework on top of Spark. L2/CO4 1
a. Spark b. ML library c.GraphX d. BSON

Q. 2 Solve the following. 12


A) What is a big data? Discuss the different sources of big data. L2/CO1 6
B) Describe the various characteristics of Big data. L2/CO1 6
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Q.3 Solve the following. 12
A) With neat Sketch explain HDFS architecture in detail. L2/CO2 6
B) Explain the Map Reduce programming model. Solve the example of L3/CO2 6
Word Count for 1.This is an Apple. 2.An Apple is red in colour.

Q. 4 Solve Any Two of the following. 12


A) Why is Real-time Big Data Pipeline So Important Nowadays? L2/CO3 6
B) Explain the Role and working of APACHE KAFKA. L2/CO3 6
C) Discuss the typical use cases of streaming data. L2/CO3 6
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Q.5 Solve Any Two of the following. 12


A) What is Machine Learning? Why the Machine Learning is important in L2/CO4 6
Big Data processing?
B) What is Graph processing? Discuss the Graph processing algorithms in L2/CO4 6
big data.

C) Explain the K-Means clustering Algorithm with example. L2/CO4 6

Q. 6 Solve Any Two of the following. 12


A) Discuss the advantages of using Java script shell for MongoDB queries L3/CO5 6

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B) Explain the CRUD operations in MongoDB with example. L2/CO5 6
C) What is the NoSQL database? Explain different types of NoSQL L2/CO5 6
databases.
*** End ***
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