Test Bank For Business Intelligence, Analytics, Data Science, and
AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban
Chapter 1-11 || Complete A+ Guide
Ascorers Stuvia
,Contents
Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science.............................................. 2
Chapter 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications ......... 30
Chapter 3 Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling ................................ 59
Chapter 4 Descriptive Analytics II: Business Intelligence Data Warehousing, and Visualization ................. 91
Chapter 5 Predictive Analytics I: Data Mining Process, Methods, and Algorithms ................................... 123
Chapter 6 Predictive Analytics II: Text, Web, and Social Media Analytics.................................................. 155
Chapter 7 Deep Learning and Cognitive Computing ................................................................................. 185
Chapter 8 Prescriptive Analytics: Optimization and Simulation ................................................................ 215
Chapter 9 The Landscape of Software Tools and Languages ..................................................................... 247
Chapter 10 New AI-Based Trends in Analytics and Data Science .............................................................. 278
Chapter 11 Ethical, Privacy and Managerial Considerations in Analytics .................................................. 311
1
Copyright © 2024 Pearson Education Ltd.
,Chapter 1 An Overview of Business Intelligence,
Analytics, and Data Science
1) Computerized support is used for organizational and managerial decisions that
are responses to external pressures and to take advantage of market opportunities.
Ans: TRUE
Diff: 1 Page Ref: 32
2) During the early days of analytics, data was often obtained from the domain
experts using manual processes to build mathematical or knowledge-based models.
Ans: TRUE
Diff: 2 Page Ref: 56
3) Computer applications have moved from transaction processing and monitoring
activities to problem analysis and decision support applications.
Ans: TRUE
Diff: 1 Page Ref: 48
4) Business intelligence is a specific term that describes a variety of information
technology and data capturing focused system architectures.
Ans: FALSE Diff: 2
Page Ref: 46
5) The growth in hardware, software, and network capacities were the core
contributors to the proliferation of decision support and analytics systems.
Ans: FALSE
Diff: 2 Page Ref: 48
2
Copyright © 2024 Pearson Education Ltd.
, 6) Managing data warehouses requires special methods, including parallel and
cloud computing along with Hadoop/Spark.
Ans: TRUE
Diff: 2 Page Ref: 49
7) Managing information on operations, customers, internal procedures, and
employee interactions is the domain of cognitive science.
Ans: FALSE Diff: 3
Page Ref: 49
8) Decision support system (DSS), analytics, and management information system
(MIS) have precise definitions agreed to by most practitioners.
Ans: FALSE Diff: 2
Page Ref: 55
9) Of all analytics types (i.e., descriptive, predictive, and prescriptive), data mining
is most closely related to predictive analytics.
Ans: TRUE
Diff: 1 Page Ref: 65
10) Major commercial business intelligence (BI) products and services were well
established in the early 1970s.
Ans: FALSE Diff: 2
Page Ref: 55
11) Information systems that support such transactions as ATM withdrawals, bank
deposits, and cash register scans at the grocery store represent online transaction
3
Copy͘right © 2024 Pearson Education Ltd.
AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban
Chapter 1-11 || Complete A+ Guide
Ascorers Stuvia
,Contents
Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science.............................................. 2
Chapter 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications ......... 30
Chapter 3 Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling ................................ 59
Chapter 4 Descriptive Analytics II: Business Intelligence Data Warehousing, and Visualization ................. 91
Chapter 5 Predictive Analytics I: Data Mining Process, Methods, and Algorithms ................................... 123
Chapter 6 Predictive Analytics II: Text, Web, and Social Media Analytics.................................................. 155
Chapter 7 Deep Learning and Cognitive Computing ................................................................................. 185
Chapter 8 Prescriptive Analytics: Optimization and Simulation ................................................................ 215
Chapter 9 The Landscape of Software Tools and Languages ..................................................................... 247
Chapter 10 New AI-Based Trends in Analytics and Data Science .............................................................. 278
Chapter 11 Ethical, Privacy and Managerial Considerations in Analytics .................................................. 311
1
Copyright © 2024 Pearson Education Ltd.
,Chapter 1 An Overview of Business Intelligence,
Analytics, and Data Science
1) Computerized support is used for organizational and managerial decisions that
are responses to external pressures and to take advantage of market opportunities.
Ans: TRUE
Diff: 1 Page Ref: 32
2) During the early days of analytics, data was often obtained from the domain
experts using manual processes to build mathematical or knowledge-based models.
Ans: TRUE
Diff: 2 Page Ref: 56
3) Computer applications have moved from transaction processing and monitoring
activities to problem analysis and decision support applications.
Ans: TRUE
Diff: 1 Page Ref: 48
4) Business intelligence is a specific term that describes a variety of information
technology and data capturing focused system architectures.
Ans: FALSE Diff: 2
Page Ref: 46
5) The growth in hardware, software, and network capacities were the core
contributors to the proliferation of decision support and analytics systems.
Ans: FALSE
Diff: 2 Page Ref: 48
2
Copyright © 2024 Pearson Education Ltd.
, 6) Managing data warehouses requires special methods, including parallel and
cloud computing along with Hadoop/Spark.
Ans: TRUE
Diff: 2 Page Ref: 49
7) Managing information on operations, customers, internal procedures, and
employee interactions is the domain of cognitive science.
Ans: FALSE Diff: 3
Page Ref: 49
8) Decision support system (DSS), analytics, and management information system
(MIS) have precise definitions agreed to by most practitioners.
Ans: FALSE Diff: 2
Page Ref: 55
9) Of all analytics types (i.e., descriptive, predictive, and prescriptive), data mining
is most closely related to predictive analytics.
Ans: TRUE
Diff: 1 Page Ref: 65
10) Major commercial business intelligence (BI) products and services were well
established in the early 1970s.
Ans: FALSE Diff: 2
Page Ref: 55
11) Information systems that support such transactions as ATM withdrawals, bank
deposits, and cash register scans at the grocery store represent online transaction
3
Copy͘right © 2024 Pearson Education Ltd.
