Business Intelligence, Analytics, Data Science, and AI (5th Edition) – Ramesh Sharda, Dursun Delen & Efraim Turban | Complete Test Bank (Chapters 1–11, Latest Version)

Test Bank for Business Intelligence, Analytics, Data Science, And AI,
5th Edition
By Ramesh Sharda, Dursun Delen, Efraim Turban
All Chapters (1-11) All Included Latest Version
ISBN 9781292459295




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, TABLE OF CONTENTS


Chapter 1 An Overview of Business Intelligence, Analytics, and
Data Science ............................................................................................................................ 3
Chapter 2 Artificial Intelligence: Concepts, Drivers, Major
Technologies, and Business Applications.............................................................23
Chapter 3Descriptive Analytics I: Nature of Data, Big Data, and
Statistical Modeling...........................................................................................................47
Chapter 4Descriptive Analytics II: Business Intelligence Data
Warehousing, and Visualization ................................................................................71
Chapter 5Predictive Analytics I: Data Mining Process,
Methods, and Algorithms...............................................................................................96
Chapter 6Predictive Analytics II: Text, Web, and Social Media
Analytics 120
Chapter 7Deep Learning and Cognitive Computing..................................... 142
Chapter 8Prescriptive Analytics: Optimization and Simulation .......... 165
Chapter 9The Landscape of Software Tools and Languages ................... 187
Chapter 10New AI-Based Trends in Analytics and Data Science.......... 209
Chapter 11Ethical, Privacy and Managerial Considerations in
Analytics 231




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,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.
CORRECT ANSWER: 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.
CORRECT ANSWER: TRUE
Diff: 2 Page Ref: 56


3) Computer applications have moved from transaction processing and monitoring
activities to problem analysis and decision support applications.
CORRECT ANSWER: 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.
CORRECT ANSWER: 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.
CORRECT ANSWER: FALSE
Diff: 2 Page Ref: 48


6) Managing data warehouses requires special methods, including parallel and
cloud computing along with Hadoop/Spark.
CORRECT ANSWER: TRUE
Diff: 2 Page Ref: 49


7) Managing information on operations, customers, internal procedures, and
employee interactions is the domain of cognitive science.

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, CORRECT ANSWER: 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.
CORRECT ANSWER: 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.
CORRECT ANSWER: TRUE
Diff: 1 Page Ref: 65
10) Major commercial business intelligence (BI) products and services were well
established in the early 1970s.
CORRECT ANSWER: 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
processing systems (OLAP).
CORRECT ANSWER: FALSE
Diff: 3 Page Ref: 61




12) Many business users in the 1980s referred to their mainframes as "the black
hole," because all the information went into it, but little ever came back, and ad hoc real-
time querying was virtually impossible.
CORRECT ANSWER: TRUE
Diff: 2 Page Ref: 61


13) Data warehouses are intended to work with informational data used for online
transaction processing (OLTP) systems.
CORRECT ANSWER: TRUE
Diff: 2 Page Ref: 61




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