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University University Of Stirling (US)
Subject Big Data

ASSIGNMENT MODULE 1

 Section A

 For every question, 4 options are given out of which only one option is correct. Choose the correct option

1.  As companies move past the experimental phase with Hadoop, many cite     the need for additional capabilities, including:
a) Improved data storage and information retrieval
b) Improved extract, transform and load features for data integration
c) Improved data warehousing functionality
d) Improved security, workload management, and SQL support

2. Point out the correct statement :
a) Hadoop do need specialized hardware to process the data
b) Hadoop 2.0 allows live stream processing of real-time data
c) In the Hadoop programming framework output files are divided into lines or records
d) None of the mentioned

3. According to analysts, for what can traditional IT systems provide a foundation when they’re integrated with big data technologies like Hadoop?
a) Big data management and data mining
b) Data warehousing and business intelligence
c) Management of Hadoop clusters
d) Collecting and storing unstructured data

4. Hadoop is a framework that works with a variety of related tools. Common cohorts include:
a) MapReduce, Hive, and HBase
b) MapReduce, MySQL, and Google Apps
c) MapReduce, Hummer, and Iguana
d) MapReduce, Heron, and Trumpet

5. Point out the wrong statement :
a) Hardtop processing capabilities are huge and its real advantage lies in the ability to process terabytes & petabytes of data
b) Hadoop uses a programming model called “MapReduce”, all the programs should conform to this model in order to work on the Hadoop platform
c) The programming model, MapReduce, used by Hadoop is difficult to write and test
d) All of the mentioned

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 Section B

Answer the following questions briefly

1.  What are the basic differences between a relational database and HDFS?

2. What is Hadoop and its components.

3. What are HDFS and YARN?

4. Write about the various Hadoop daemons and their roles in a Hadoop cluster.

5. Compare HDFS with Network Attached Storage (NAS).

6. List the difference between Hadoop 1 and Hadoop 2.

7. Why does one remove or add nodes in a Hadoop cluster frequently?

8. What will you do when NameNode is down?

9. Why do we use HDFS for applications having large data sets and not when there are a lot of small files?

10. How do you define “block” in HDFS? What is the default block size in Hadoop 1 and in Hadoop 2? Can it be changed?

11. What does the ‘jps’ command do?

12. What is “speculative execution” in Hadoop?

13. What is the difference between an “HDFS Block” and an “Input Split”?

14. Name the three modes in which Hadoop can run.

15. What does a “MapReduce Partitioner” do?

Section C

Answer the following questions in detail

1. What are the applications of Hadoop

2. Write a note on Hdfs

3. What are the Mapreduce features

4. Write a note on Hadoop Cluster

5. Write a note on Hadoop Architecture

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 ASSIGNMENT MODULE 2

 Section A

For every question, 4 options are given out of which only one option is correct. Choose the correct option

1. What was Hadoop named after?
a) Creator Doug Cutting’s favorite circus act
b) Cutting’s high school rock band
c) The toy elephant of Cutting’s son
d) A sound Cutting’s laptop made during Hadoop development

2. All of the following accurately describe Hadoop, EXCEPT:
a) Open source
b) Real-time
c) Java-based
d) Distributed computing approach

3. __________ can best be described as a programming model used to develop Hadoop-based applications that can process massive amounts of data.
a) MapReduce
b) Mahout
c)Oozie
d) All of the mentioned

4. __________ has the world’s largest Hadoop cluster.
a) Apple
b) Datamatics
c) Facebook
d) None of the mentioned

5. Facebook Tackles Big Data With _______ based on Hadoop.
a) ‘Project Prism’
b) ‘Prism’
c) ‘Project Big’
d) ‘Project Data’

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 Section B

Answer the following questions briefly

1. Differentiate between Structured and Unstructured data

2. What is Hadoop streaming?

3. What is the best hardware configuration to run Hadoop?

4. What is a block and block scanner in HDFS?

5. Explain the difference between NameNode, Backup Node, and Checkpoint NameNode.

6. What is commodity hardware?

7. How can you overwrite the replication factors in HDFS?

8. Explain the process of inter-cluster data copying.

9. Explain what happens if, during the PUT operation, the HDFS block is assigned a replication factor 1 instead of the default value 3.

10. What is the process to change the files at arbitrary locations in HDFS?

11. What is rack awareness and on what basis is data stored in a rack?

12. What do you understand by edge nodes in Hadoop?

13. What are side data distribution techniques in Hadoop?

14. When should you use HBase and what are the key components of HBase?

15. Explain the difference between HBase and Hive

Section C

Answer the following questions in detail

1. What are the applications of Pig

2. Write a note on Zookeeper

3. Explain about Hive

4. Write a note on Pig

5. Write a note on Hbase

ASSIGNMENT MODULE 3

 Section A

 For every question, 4 options are given out of which only one option is correct. Choose the correct option

1. Data visualization accuracy is driven by _____.

a) Dynamic updates

b) The proficiency of the technical team

c) Raw data complexity

d) Timely, accurate, and unbiased raw data

2. Which of the following are characteristics of data visualization?

a) All of the answers are correct.

b) Can be simple

c) Can be complex

d)  Provide the ability to understand information

3.  Which of the following is NOT a reason why data visualization is important?

a)  Identify exceptional cases easily

b)  Learn things more easily

c)  See trends and patterns more easily

d)  It is faster to create than other representations

4.  The method by which companies analyze customer data or other types of information in an effort to identify patterns and discover relationships between different data elements is often referred to as

`a)  Data mining

b) Data digging

c) Customer data management

d) None of the above

5.  To maximize the benefits of big data analytics techniques, it’s critical for organizations to select the right tools and involve people who bring needed analytical skills to a project.

a) True

b)  False

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 Section B

Answer the following questions briefly

1. Differentiate between report analyzer and text analyzer

2. What is clinical text mining?

3. What is morphological analysis?

4. What is information extraction?

5. Explain briefly about temporal methods

6. Define fractal geometry

7. Write about EHR

8. Explain data analysis.

9. Explain data visualization.

10. What is the process of information extraction?

11. What is a negation

12. What do you understand by spell checking

13. What are extraction codes

14. What do you understand by data mining

15. Explain High-Dimensional Data Visualization

Section C

Answer the following questions in detail

1. What is a visual analytics

2. Write a note on NLP

3. Explain about Privacy-Preserving Data Publishing Methods in Healthcare

4. Write a note on data sources in healthcare

5. Write a note on mining information

 ASSIGNMENT MODULE 4

 Section A

 For every question, 4 options are given out of which only one option is correct. Choose the correct option

 1. Spark architecture is ___________ times as fast as Hadoop disk-based Apache Mahout and even scales better than Vowpal Wabbit.

a) 10

b) 20

c) 50

d) 100

2. Spark SQL provides a domain-specific language to manipulate ___________ in Scala, Java, or Python.

a) Spark Streaming

b) Spark SQL

c) RDDs

d) All of the mentioned

3. ____________ is a component on top of Spark Core.

a) Spark Streaming

b) Spark SQL

c) RDDs

d) All of the mentioned

4. Spark was initially started by ____________ at UC Berkeley AMPLab in 2009.

a) MahekZaharia

b) MateiZaharia

c) Doug Cutting

d) Stonebraker

5. Point out the correct statement:

a) RSS abstraction provides distributed task dispatching, scheduling, and basic I/O functionalities

b) For cluster manager, Spark supports standalone Hadoop YARN

c) Hive SQL is a component on top of Spark Core

d) None of the mentioned

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 Section B

Answer the following questions briefly

1. What is Apache Spark?

2. Explain the key features of Apache Spark

3. What is Executor Memory in a Spark application?

4. Define Actions in Spark

5. How is Streaming implemented in Spark? Explain with examples

6. How is machine learning implemented in Spark

7. Is there a module to implement SQL in Spark? How does it work?

8. How can Apache Spark be used alongside Hadoop

9. List the functions of Spark SQL

10. Name types of Cluster Managers in Spark

11. Illustrate some demerits of using Spark

12. How can you minimize data transfers when working with Spark?

13. Explain Caching in Spark Streaming

14. What are the various levels of persistence in Apache Spark?

15. How is Spark SQL different from HQL and SQL?

Section C

Answer the following questions in detail

1. What is Spark SQL

2. Write a note on interactive data analysis

3. Explain about spark streaming

4. Write a note on graph processing with spark

5. Write a note on python

ASSIGNMENT MODULE 5

 Section A

For every question, 4 options are given out of which only one option is correct. Choose the correct option

1.  As companies move past the experimental phase with Hadoop, many cite the need for additional capabilities, including:
a) Improved data storage and information retrieval
b) Improved extract, transform and load features for data integration
c) Improved data warehousing functionality
d) Improved security, workload management and SQL support

2. _________ hides the limitations of Java behind a powerful and concise Clojure API for Cascading.

a) Scalding

b) Cascalog

c) Catalog

d) Holding

3. The features that were the most discriminative using the ICOMP measures are:

a) Node degree

b) Number of fraudulent providers in a 2-hop network

c)Page rank

d) All the above

4. In the drug–target interaction network, similar targets tend to interact with the same drugs, and similar drugs tend to interact with the same targets.

a) True

b) False

5. CDSS is

a) Clinical Data Support Systems

b) Clinical Decision Support Systems

c) Clinical Digital Support Systems

d) Clinical Developer Support Systems

Section B

Answer the following questions briefly

1. What is CDSS?

2. Explain artificial neural networks

3. What is the Body area network

4. Define ambient sensor

5. How is emergency detection is monitored

6. How are frauds are detected

7. What is a spontaneous reporting system

8. How is CDSS work

9. List the types of data sources

10. Name types of CDSS

11. What is the computer-aided diagnosis

12. Explain in brief about medical imaging

13. Explain PET

14. What is data visualization

15. Explain image management and communication

Section C

 Answer the following questions in detail

1. What is Computer-Assisted Medical Image Analysis Systems

2. Write a note on Fraud Detection in Healthcare

3. Explain about Analytics for Biomedical Data

4. Write a note on Data Analytics for Pharmaceutical Discoveries

5. Data Sources and Other Applications

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