Data Analytics
Final Exam
Course Introduction
Data Analytics explores the techniques and tools used to collect, process, analyze, and visualize data to extract meaningful insights and support decision-making. This course covers fundamental concepts such as data cleaning, statistical analysis, pattern recognition, and predictive modeling. Students learn to use industry-standard software for data manipulation and develop critical thinking skills to interpret data results in practical, real-world scenarios. By the end of the course, students will be equipped to handle large datasets, uncover trends, and communicate findings effectively to both technical and non-technical audiences.
Recommended Textbook
Decision Support and Business Intelligence Systems 9th Edition by Efraim Turban
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14 Chapters
965 Verified Questions
965 Flashcards
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Page 2
Chapter 1: Decision Support Systems and Business Intelligence
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Sample Questions
Q1) ________ is a process of searching for unknown relationships or information in large databases or data warehouses,using intelligent tools such as neural computing,predictive analytics techniques,or advanced statistical methods.
Answer: Data Mining
Q2) Which of the following is one of the two major types of Decision Support Systems?
A) Number-oriented
B) Text-oriented
C) Model-oriented
D) Application-oriented
Answer: C
Q3) The two major DSS types are the <i>model-oriented DSS</i>,in which quantitative models are used to generate a recommended solution to a problem,and <i>data-oriented DSS</i>,which support ad hoc reporting and queries.
A)True
B)False
Answer: True
Q4) ________ is the first component of the DSS architecture.
Answer: Data
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Chapter 2: Decision Making, Systems, Modeling, and Support
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Sample Questions
Q1) Personality temperament tests are often used to determine decision styles.
A)True
B)False
Answer: True
Q2) There is a continuous flow of activity from one phase to the next phase in a decision making process,but at any phase there may be a return to a previous phase.________ is an essential part of this process.
A) Testing
B) Trial-and-error
C) Experimenting
D) Modeling
Answer: D
Q3) It is important to remove unneeded complexity from a model before handoff because as a tool becomes more complex it requires more automation.
A)True
B)False
Answer: False
Q4) ________ is synonymous with the whole process of management.
Answer: Decision making
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Chapter 3: Decision Support Systems Concepts,
Methodologies, and Technologies:
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Sample Questions
Q1) Planners Lab is a DSS ________ language.
Answer: modeling
Q2) A(n)________ is a collection of interrelated data,organized to meet the needs and structure of an organization that can be used by more than one person for more than one application.
A) business intelligence
B) expert system
C) database
D) data repository
Answer: C
Q3) A database is created,accessed,and updated by a(n)________.
A) expert system
B) animation system
C) knowledge system
D) database management system
Answer: D
Q4) ________ describes the business analytics method of forecasting problems and opportunities rather than simply reporting them as they occur.
Answer: Predicative analytics
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Chapter 4: Modeling and Analysis
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Sample Questions
Q1) Distinguish between a static model and a dynamic model.
Q2) There is a trend toward developing and using Web tools and software to access and run software to perform modeling,optimization,and simulation,even though this has complicated the application of many models to real-world problems.
A)True
B)False
Q3) The use of an optimization model in the auction bidding process to award school meal contracts in Chile has significantly decreased costs.
A)True
B)False
Q4) One of the assumptions of the linear programming allocation model is that not all data are known with certainty.
A)True
B)False
Q5) ________ is the relational approach to the design and development of a model base management system.
Q6) List the steps involved in the simulation process.
Q7) List the type of relationships sensitivity analysis study can test.
Page 6
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Chapter 5: Data Mining for Business Intelligence
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Sample Questions
Q1) ________ data mining finds patterns,associations,and other relationships hidden within datasets.It can uncover facts that an organization had not previously known or contemplated.
Q2) Clustering partitions a collection of things,such as objects and events presented in a structured dataset into segments whose members share similar characteristics.
A)True
B)False
Q3) Explain the simple split methodology for classification.Explain the advantages of the k-fold cross-validation methodology over the simple split methodology.
Q4) What is a major characteristic of data mining?
A) Data mining tools are readily combined with spreadsheets and other software development tools.
B) Because of the large amounts of data and massive search efforts, it is sometimes necessary to use serial processing for data mining.
C) Data are often buried within numerous small large databases, which sometimes contain data from several years.
D) The miner needs sophisticated programming skill.
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Chapter 6: Artificial Neural Networks for Data Mining
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Sample Questions
Q1) In network information processing,each input corresponds to one or two attributes.
A)True
B)False
Q2) Briefly describe backpropagation.
Q3) There are about 50 to 150 billion neurons in the human brain and these neurons are partitioned into groups called ________.
A) teams
B) sects
C) groups
D) networks
Q4) The ________ is the training procedure used by an artificial neural network.
Q5) Most implementations of the learning process in neural network include a counterbalancing parameter called ________ to provide a balance to the learning rate.
A) power
B) energy
C) force
D) momentum
Q6) The purpose of the neural network is to compute the ________ of the output.
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Chapter 7: Text and Web Mining
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Sample Questions
Q1) Which of the following correctly defines a text mining term?
A) Tagging is the number of times a word is found in a specific document.
B) A token is an uncategorized block of text in a sentence.
C) Rooting is the process of reducing inflected words to their base form.
D) A term is a single word or multiword phrase extracted directly from the corpus by means of NLP methods.
Q2) Unstructured data has a predetermined format.It is usually organized into records as categorical,ordinal,and continuous variables and stored in databases.
A)True
B)False
Q3) Stemming is the process of reducing inflected words to their base or root form.
A)True
B)False
Q4) Which of the following refers to developing useful information from the links included in the Web documents?
A) Web content mining
B) Web subject mining
C) Web structure mining
D) Web matter mining
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Chapter 8: Data Warehousing
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Sample Questions
Q1) Guidelines that need to be considered when developing a vendor list include all of the following except:
A) financial strength
B) trade shows
C) ERP linkages
D) market share
Q2) Data often are fragmented in distinct operational systems,so managers often make decisions with partial information at best.________ cuts through this obstacle by accessing,integrating,and organizing key operational data in a form that is consistent,reliable,timely,and readily available where needed.
Q3) Data warehouses contain vast amounts of internal data but are limited because they do not contain external data.
A)True
B)False
Q4) The main issues pertaining to ________ are the amount of data in the warehouse,how quickly the warehouse is expected to grow,the number of concurrent users,and the complexity of user queries.
Q5) List 5 factors that potentially affect the architecture selection decision.
Q6) List five benefits of a hosted data warehouse.
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Chapter 9: Business Performance Management
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Sample Questions
Q1) List the basic ingredients of good performance measures.
Q2) Lean manufacturing focuses on the elimination of waste or non-value-added activities,whereas Six Sigma focuses on reducing the variation or improving the consistency of a process.
A)True
B)False
Q3) Which of the following identifies and prioritizes the key customer,market,competitor,government,demographic,or actually impacting the company?
A) SWOT
B) SWAT
C) ROA
D) CSF
Q4) Six Sigma and Lean Production both deal with ________.
Q5) An operational plan translates an organization's strategic objectives and goals into a set of well-defined tactics and initiatives,resource requirements,and expected results for some future time period,usually,but not always,a month.
A)True
B)False
Q6) ________ refers to both the logical and physical design of a system.
Page 11
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Chapter 10: Collaborative Computer-Supported Technologies
and
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Sample Questions
Q1) Which of the following is a gateway to a corporate Web site that enables communication,collaboration,and access to company information?
A) Corporate port
B) Web portal
C) Corporate gateway
D) Enterprise portal
Q2) The term,wiki,refers to the collaborative software that facilitates the operation of a wiki Web site;.and means ________ in the Hawaiian language.
A) slow
B) quick
C) integration
D) collaboration
Q3) Successful enterprise-wide collaboration systems such as Lotus Notes/Domino can be
inexpensive to develop and operate because no support staff is required.
A)True
B)False
Q4) Describe the four cells frameworks of time and space in communications.
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Q5) ________ is a team whose members are in different places while in a meeting.
Chapter 11: Knowledge Management
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Sample Questions
Q1) Knowledge has strong experiential and reflective elements that distinguish it from information in a given context.
A)True
B)False
Q2) Describe the Seven Principles for designing successful communities of practice.
Q3) Knowledge management is about building personal repositories of information at the department and organization levels.
A)True
B)False
Q4) The process approach attempts to ________ organizational knowledge through formalized controls,processes,and technologies.
Q5) Explicit knowledge deals with objective,rational,and technical knowledge.
A)True
B)False
Q6) Identify ways in which Artificial Intelligence helps knowledge management.
Q7) Define tacit knowledge.
Q8) Describe electronic document management.
Q9) Define explicit knowledge.
Q10) What is a community of practice?
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Chapter 12: Artificial Intelligence and Expert Systems
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Sample Questions
Q1) ________ are intuitive knowledge,or rules of thumb,learned from experience.
Q2) The Web can greatly support the spread of multimedia-based ES.Such systems are called ________ systems.
Q3) The ________ is the foundation of an expert system,which includes the relevant knowledge necessary for understanding,formulating,and solving problems.
Q4) By implementing ES and other intelligent systems as knowledge servers,it becomes economically feasible and profi to publish expertise on the Web.
A)True
B)False
Q5) Most technologies used to support decision situations where expertise is required use qualitative and/or mathematical models to provide the needed support.
A)True
B)False
Q6) The purpose of an intelligent computer-aided instruction (ICAI)is to learn.
A)True
B)False
Q7) Describe abilities that are signs of intelligence.
Q8) ________ is a test designed to measure the intelligence of a computer.
Page 14
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Chapter 13: Advanced Intelligent Systems
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Sample Questions
Q1) Support vector machines (SVM)have a solid mathematical foundation in statistical learning theory,but are too complex for use in real-world applications.
A)True
B)False
Q2) STRATASSIST is a fuzzy ES that helps small- to medium-sized firms plan strategically by asking questions in five strategic,competitive areas.
A)True
B)False
Q3) ________ allows the computer to examine historical cases and generate rules that can be used to solve new problems or that can be deployed for automating a decision support process that repeatedly deals with a specific class of problems (e.g.,evaluating loan applications).
A) Exploration learning
B) Case-based reasoning
C) Explanation-based learning
D) Inductive learning
Q4) In machine learning,the ________ is a method for using a linear classifier algorithm to solve a nonlinear problem
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Chapter 14: Management Support Systems: Emerging
Trends and Impacts
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Sample Questions
Q1) MySpace and Facebook,Wikipedia and YouTube are examples of ________.
A) Web logs
B) online social networks
C) social network analysis software
D) Live Spaces
Q2) Privacy is the right to be left alone and the right to be free from ________ personal intrusions.
Q3) In one view,intelligent systems and other MSS will cause massive ________ because of automating jobs,increased productivity,lower required skill levels,and impacts on all sectors of the economy.
Q4) The intention of ________ is to achieve a feeling of telepresence and participation from a distance.
A) active environments
B) Wikia
C) social networks
D) virtual worlds
Q5) ________ provide new immersive experiences for decision support and replicate many of the features of physical gatherings.
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