Hall Ticket No Question Paper Code: BCS212
INSTITUTE OF AERONAUTICAL ENGINEERING
(Autonomous)
M.Tech I Semester End Examinations (Supplementary) July, 2017
Regulation: IARE-R16
BIG DATA ANALYTICS
(Computer Science and Engineering
Time: 3 Hours Max Marks: 70
Answer ONE Question from each Unit
All Questions Carry Equal Marks
All parts of the question must be answered in one place only
UNIT I
1. Discuss various challenges that affect the Big Data phenomenon. Compare and contrast ACID
(Atomicity Consistency Isolation Durability) and BASE (Basically Available Soft state Eventual
consistency).
You have taken charge of a model that has been run previously on a small scale every day but
now needs to be run on millions of customers daily and given to analysts who will proactively
contact customers. List out the tasks and their priority to ensure that your model work on large
data as well.
2. Define Bid Data Analytics and state what made it powerful? What are the benefits of the Master
Data Management solution?
If an organization retains large data which is not evaluated or analyzed, will not benefit the
organization. Explain how Big Data Analytics would benefit the organization in this scenario.

UNIT II
3. Describe the drastic changes in the environment of data analysis with Big Data by comparing
different analytical tools for analyzing data.
State the reason for the problem and procedure to overcome, when an attempt is made to
modelling a task and it seems that the required level of accuracy is not being achieved.
4. Define the drivers for Big Data Velocity, Variety and Viscosity with at least two Big Data
analytics applications in detail.
Describe the method by which companies analyze customer data or other types of data in an
effort to identify patterns and discover relationships between different data elements.
UNIT III
5. Does Hadoop replace existing Data Warehouse? Hadoop can be an extremely valuable
extension to your data warehouse?
What is MapReduce? How Map Reduce works in Hadoop? What are the components and
architecture of MapReduce.
Page 1 of 2
6. What are the most commonly defined input formats in Hadoop? What is a block and block
scanner
Explain what happens if during the PUT operation, HDFS block is assigned a replication factor
1 instead of the default value 3.
UNIT IV
7. List out the writable data types used by Hadoop API that have the same features as default java
class.
How to copy a file into HDFS with a different block size to that of existing block size configuration?

8. Can Hadoop be used to create distributed clusters, based on commodity servers, which provide
low-cost processing and storage for unstructured data, log files and other forms of Big Data
explain with suitable example.
HDFS stores data using commodity hardware which has higher chances of failures. So, How
HDFS ensures the Fault Tolerance capability of the system?
UNIT V
9. You are analyzing a cohort of visitors to two websites. You know that the cohort in website A
consists of 576 male visitors and 768 female visitors. Assuming all visitors also visit website
what is the probability that a randomly selected visitor is female? In social network analysis,
what is the definition of a clique?
How does creating a social network marketing plan different from traditional marketing plan?
What are the types of results from mobile analytics?
10. Describe the future of sentiment analysis. List out the techniques used in sentiment analysis.

Write the steps and procedure to perform sentiment analysis on the tweets downloaded from
Twitter.