Question 1

Using data to understand customers/clients and business operations to sustain and foster growth and profitability is

Accepted Answer

A)  easier with the advent of BI and Big Data. 
B)  essentially the same now as it has always been. 
C)  an increasingly challenging task for today's enterprises. 
D)  now completely automated with no human intervention required. 
A)  easier with the advent of BI and Big Data. 
B)  essentially the same now as it has always been. 
C)  an increasingly challenging task for today's enterprises. 
D)  now completely automated with no human intervention required. C

Question 2

What is a data scientist and what does the job involve?

Accepted Answer

A data scientist is a role or a job frequently associated with Big Data or data science. In a very short time it has become one of the most sought-out roles in the marketplace. Currently, data scientists' most basic, current skill is the ability to write code (in the latest Big Data languages and platforms). A more enduring skill will be the need for data scientists to communicate in a language that all their stakeholders understand-and to demonstrate the special skills involved in storytelling with data, whether verbally, visually, or-ideally-both. Data scientists use a combination of their business and technical skills to investigate Big Data looking for ways to improve current business analytics practices (from descriptive to predictive and prescriptive) and hence to improve decisions for new business opportunities.

Question 3

In the Dublin City Council case study, GPS data from the city's buses and CCTV were the only data sources for the Big Data GIS-based application.

Accepted Answer

A) True 
 B)False  False

Question 4

The Big Data and Analysis in Politics case study makes it clear that the unpredictability of elections makes politics an unsuitable arena for Big Data.

Accepted Answer

A) True 
 B)False

Question 5

A newly popular unit of data in the Big Data era is the petabyte (PB), which is

Accepted Answer

A)  10⁹ bytes. 
B)  10¹² bytes. 
C)  10¹⁵ bytes. 
D)  10¹⁸ bytes. 
A)  10⁹ bytes. 
B)  10¹² bytes. 
C)  10¹⁵ bytes. 
D)  10¹⁸ bytes.

Question 6

In the Big Data and Analytics in Politics case study, what was the analytic system output or goal?

Accepted Answer

A)  census data 
B)  assessment of sentiment 
C)  voter mobilization 
D)  group clustering 
A)  census data 
B)  assessment of sentiment 
C)  voter mobilization 
D)  group clustering

Question 7

What are the differences between stream analytics and perpetual analytics? When would you use one or the other?

Accepted Answer

•In many cases they are used synonymousl

Question 8

There is a current undersupply of data scientists for the Big Data market.

Accepted Answer

A) True 
 B)False

Question 9

In the eBay use case study, load ________ helped the company meet its Big Data needs with the extremely fast data handling and application availability requirements.

Accepted Answer

The answer of In the eBay use case study, load...

Question 10

The data scientist is a profession for a field that is still largely being defined.

Accepted Answer

A) True 
 B)False

Question 11

Hadoop and MapReduce require each other to work.

Accepted Answer

A) True 
 B)False

Question 12

Hadoop is primarily a(n) ________ file system and lacks capabilities we'd associate with a DBMS, such as indexing, random access to data, and support for SQL.

Accepted Answer

The answer of Hadoop is primarily a(n) ________ file system...

Question 13

How does Hadoop work?

Accepted Answer

A)  It integrates Big Data into a whole so large data elements can be processed as a whole on one computer. 
B)  It integrates Big Data into a whole so large data elements can be processed as a whole on multiple computers. 
C)  It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on one computer. 
D)  It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers. 
A)  It integrates Big Data into a whole so large data elements can be processed as a whole on one computer. 
B)  It integrates Big Data into a whole so large data elements can be processed as a whole on multiple computers. 
C)  It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on one computer. 
D)  It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers.

Question 14

List and describe the three main "V"s that characterize Big Data.

Accepted Answer

•Volume: This is obviously the mo

Question 15

In the health sciences, the largest potential source of Big Data comes from

Accepted Answer

A)  accounting systems. 
B)  human resources. 
C)  patient monitoring. 
D)  research administration. 
A)  accounting systems. 
B)  human resources. 
C)  patient monitoring. 
D)  research administration.

Question 16

A job ________ is a node in a Hadoop cluster that initiates and coordinates MapReduce jobs, or the processing of the data.

Accepted Answer

The answer of A job ________ is a node in...

Question 17

HBase, Cassandra, MongoDB, and Accumulo are examples of ________ databases.

Accepted Answer

The answer of HBase, Cassandra, MongoDB, and Accumulo are examples...

Question 18

List and describe four of the most critical success factors for Big Data analytics.

Accepted Answer

•A clear business need (alignment

Question 19

Under which of the following requirements would it be more appropriate to use Hadoop over a data warehouse?

Accepted Answer

A)  ANSI 2003 SQL compliance is required 
B)  online archives alternative to tape 
C)  unrestricted, ungoverned sandbox explorations 
D)  analysis of provisional data 
A)  ANSI 2003 SQL compliance is required 
B)  online archives alternative to tape 
C)  unrestricted, ungoverned sandbox explorations 
D)  analysis of provisional data

Question 20

________ bring together hardware and software in a physical unit that is not only fast but also scalable on an as-needed basis.

Accepted Answer

The answer of ________ bring together hardware and software in...

Using data to understand customers/clients and business operations to sustain and foster growth and profitability is

What is a data scientist and what does the job involve?

In the Dublin City Council case study, GPS data from the city's buses and CCTV were the only data sources for the Big Data GIS-based application.

The Big Data and Analysis in Politics case study makes it clear that the unpredictability of elections makes politics an unsuitable arena for Big Data.

A newly popular unit of data in the Big Data era is the petabyte (PB), which is

In the Big Data and Analytics in Politics case study, what was the analytic system output or goal?

What are the differences between stream analytics and perpetual analytics? When would you use one or the other?

There is a current undersupply of data scientists for the Big Data market.

In the eBay use case study, load ________ helped the company meet its Big Data needs with the extremely fast data handling and application availability requirements.

The data scientist is a profession for a field that is still largely being defined.

Hadoop and MapReduce require each other to work.

Hadoop is primarily a(n) ________ file system and lacks capabilities we'd associate with a DBMS, such as indexing, random access to data, and support for SQL.

How does Hadoop work?

List and describe the three main "V"s that characterize Big Data.

In the health sciences, the largest potential source of Big Data comes from

A job ________ is a node in a Hadoop cluster that initiates and coordinates MapReduce jobs, or the processing of the data.

HBase, Cassandra, MongoDB, and Accumulo are examples of ________ databases.

List and describe four of the most critical success factors for Big Data analytics.

Under which of the following requirements would it be more appropriate to use Hadoop over a data warehouse?

________ bring together hardware and software in a physical unit that is not only fast but also scalable on an as-needed basis.

An Overview of Business Intelligence, Analytics, and Decision Support

Foundations and Technologies for Decision Making

Data Warehousing

Business Reporting, Visual Analytics, and Business Performance Management

Data Mining

Techniques for Predictive Modeling

Text Analytics, Text Mining, and Sentiment Analysis

Web Analytics, Web Mining, and Social Analytics

Model-Based Decision Making: Optimization and Multi-Criteria Systems

Modeling and Analysis: Heuristic Search Methods and Simulation

Automated Decision Systems and Expert Systems

Knowledge Management and Collaborative Systems

Business Analytics: Emerging Trends and Future Impacts

Filters

Exam 13: Big Data and Analytics

Using data to understand customers/clients and business operations to sustain and foster growth and profitability is

What is a data scientist and what does the job involve?

In the Dublin City Council case study, GPS data from the city's buses and CCTV were the only data sources for the Big Data GIS-based application.

The Big Data and Analysis in Politics case study makes it clear that the unpredictability of elections makes politics an unsuitable arena for Big Data.

A newly popular unit of data in the Big Data era is the petabyte (PB), which is

In the Big Data and Analytics in Politics case study, what was the analytic system output or goal?

What are the differences between stream analytics and perpetual analytics? When would you use one or the other?

There is a current undersupply of data scientists for the Big Data market.

In the eBay use case study, load ________ helped the company meet its Big Data needs with the extremely fast data handling and application availability requirements.

The data scientist is a profession for a field that is still largely being defined.

Hadoop and MapReduce require each other to work.

Hadoop is primarily a(n) ________ file system and lacks capabilities we'd associate with a DBMS, such as indexing, random access to data, and support for SQL.

How does Hadoop work?

List and describe the three main "V"s that characterize Big Data.

In the health sciences, the largest potential source of Big Data comes from

A job ________ is a node in a Hadoop cluster that initiates and coordinates MapReduce jobs, or the processing of the data.

HBase, Cassandra, MongoDB, and Accumulo are examples of ________ databases.

List and describe four of the most critical success factors for Big Data analytics.

Under which of the following requirements would it be more appropriate to use Hadoop over a data warehouse?

________ bring together hardware and software in a physical unit that is not only fast but also scalable on an as-needed basis.

An Overview of Business Intelligence, Analytics, and Decision Support

Foundations and Technologies for Decision Making

Data Warehousing

Business Reporting, Visual Analytics, and Business Performance Management

Data Mining

Techniques for Predictive Modeling

Text Analytics, Text Mining, and Sentiment Analysis

Web Analytics, Web Mining, and Social Analytics

Model-Based Decision Making: Optimization and Multi-Criteria Systems

Modeling and Analysis: Heuristic Search Methods and Simulation

Automated Decision Systems and Expert Systems

Knowledge Management and Collaborative Systems

Business Analytics: Emerging Trends and Future Impacts

Filters