Business Analytics Exam Practice Tests
Course Introduction
Business Analytics is a dynamic course that explores the methods and tools used to analyze data and make informed business decisions. Students will learn key concepts such as data management, statistical analysis, predictive modeling, and data visualization. The course emphasizes practical applications of analytics in various business domains, including marketing, finance, operations, and strategy. Through case studies, real-world datasets, and industry-standard analytical software, students will develop the skills needed to extract actionable insights from data, optimize processes, and drive strategic decision-making in contemporary organizations.
Recommended Textbook
Business Intelligence and Analytics Systems for Decision Support 10th Edition by Ramesh Sharda
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14 Chapters
980 Verified Questions
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Page 2
Chapter 1: An Overview of Business Intelligence, Analytics, and Decision Support
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70 Verified Questions
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Sample Questions
Q1) ________ analytics help managers understand probable future outcomes.
Answer: Predictive
Q2) The filing system developed by Google to handle Big Data storage challenges is known as the ________ Distributed File System.
Answer: Hadoop
Q3) Group collaboration software has proved generally ineffective at improving decision-making.
A)True
B)False
Answer: False
Q4) The use of dashboards and data visualizations is seldom effective in finding efficiencies in organizations, as demonstrated by the Seattle Children's Hospital Case Study.
A)True
B)False
Answer: False
Q5) A(n) ________ problem such as setting budgets for products is one that has some structured elements and some unstructured elements also. Answer: semistructured
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Chapter 2: Foundations and Technologies for Decision Making
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Sample Questions
Q1) ________ in decision making involves scanning the environment, either intermittently or continuously.
Answer: Intelligence
Q2) The most important feature of management support systems is the computational efficiency involved in making a decision.
A)True
B)False
Answer: False
Q3) Since a descriptive model checks the performance of the system for only a subset of all possible alternatives, there is no guarantee that a selected alternative will be optimal.
A)True
B)False
Answer: True
Q4) In a decision making environment, continuous change always validates the assumptions of the decision makers.
A)True
B)False
Answer: False
Page 4
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Chapter 3: Data Warehousing
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Sample Questions
Q1) Data warehouse administrators (DWAs) do not need strong business insight since they only handle the technical aspect of the infrastructure.
A)True
B)False
Answer: False
Q2) In the Michigan State Agencies case, the approach used was a(n) ________ one, instead of developing separate BI/DW platforms for each business area or state agency. Answer: enterprise
Q3) When representing data in a data warehouse, using several dimension tables that are each connected only to a fact table means you are using which warehouse structure?
A) star schema
B) snowflake schema
C) relational schema
D) dimensional schema
Answer: A
Q4) ________ modeling is a retrieval-based system that supports high-volume query access.
Answer: Dimensional
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Chapter 4: Business Reporting, Visual Analytics, and Business Performance Management
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Sample Questions
Q1) When you tell a story in a presentation, all of the following are true EXCEPT
A) a story should make sense and order out of a lot of background noise.
B) a well-told story should have no need for subsequent discussion.
C) stories and their lessons should be easy to remember. D) the outcome and reasons for it should be clear at the end of your story.
Q2) In the Mace case study, the IBM Cognos software enabled the rapid creation of integrated reports across 60 countries, replacing a large and complex ________.
Q3) Typical charts, graphs, and other visual elements used in visualization-based applications usually involve ________ dimensions.
Q4) According to Eckerson (2006), a well-known expert on BI dashboards, what are the three layers of information of a dashboard?
Q5) The balanced scorecard is a type of report that is based solely on financial metrics. A)True B)False
Q6) ________ charts or network diagrams show precedence relationships among the project activities/tasks.
Q7) List and describe five distinguishing features of key performance indicators.
Page 6
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Chapter 5: Data Mining
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Sample Questions
Q1) Knowledge extraction, pattern analysis, data archaeology, information harvesting, pattern searching, and data dredging are all alternative names for ________.
Q2) In the terrorist funding case study, an observed price ________ may be related to income tax avoidance/evasion, money laundering, or terrorist financing.
Q3) If using a mining analogy, "knowledge mining" would be a more appropriate term than "data mining."
A)True
B)False
Q4) In the opening vignette, Cabela's uses SAS data mining tools to create ________ models to optimize customer selection for all customer contacts.
Q5) The basic idea behind a ________ is that it recursively divides a training set until each division consists entirely or primarily of examples from one class.
Q6) Interval data is a type of numerical data.
A)True
B)False
Q7) List and briefly describe the six steps of the CRISP-DM data mining process.
Q8) List six common data mining mistakes.
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Chapter 6: Techniques for Predictive Modeling
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Sample Questions
Q1) The task undertaken by a neural network does not affect the architecture of the neural network; in other words, architectures are problem-independent.
A)True
B)False
Q2) Which element in an artificial neural network roughly corresponds to a synapse in a human brain?
A) node
B) input
C) output
D) weight
Q3) When using support vector machines, in which stage do you select the kernel type (e.g., RBF, Sigmoid)?
A) preprocessing the data
B) developing the model
C) experimentation
D) deploying the model
Q4) Why have neural networks shown much promise in many forecasting and business classification applications?
Q5) Describe the nine steps in the development process for an ANN application.
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Chapter 7: Text Analytics, Text Mining, and Sentiment Analysis
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Sample Questions
Q1) Current use of sentiment analysis in voice of the customer applications allows companies to change their products or services in real time in response to customer sentiment.
A)True
B)False
Q2) What is the definition of text analytics according to the experts in the field?
Q3) Chinese, Japanese, and Thai have features that make them more difficult candidates for natural language processing.
A)True
B)False
Q4) In the security domain, one of the largest and most prominent text mining applications is the highly classified ECHELON surveillance system. What is ECHELON assumed to be capable of doing?
Q5) IBM's Watson utilizes a massively parallel, text mining-focused, probabilistic evidence-based computational architecture called ________.
Q6) Regional accents present challenges for natural language processing.
A)True
B)False
Q7) ________ is probably the most often used form of information extraction.
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Chapter 8: Web Analytics, Web Mining, and Social Analytics
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Sample Questions
Q1) Search engine optimization (SEO) techniques play a minor role in a Web site's search ranking because only well-written content matters.
A)True
B)False
Q2) In social network analysis, who are your most powerful influencers and why are they important?
Q3) What does Web structure mining involve?
A) analyzing the universal resource locators in Web pages
B) analyzing the unstructured content of Web pages
C) analyzing the pattern of visits to a Web site
D) analyzing the PageRank and other metadata of a Web page
Q4) Web ________ are used to automatically read through the contents of Web sites.
Q5) With the PageRank algorithm, a Web page with more incoming links will always rank higher than one with fewer incoming links.
A)True
B)False
Q6) What is the difference between white hat and black hat SEO activities?
Q7) What is a Web crawler and what function does it serve in a search engine?
Q8) How would you define clickstream analysis?
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Chapter 9: Model-Based Decision Making: Optimization and Multi-Criteria Systems
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Sample Questions
Q1) In the Harrah's Cherokee Casino and Hotel case study, the revenue management system modified room prices based on demand and offered the same price/availability to all customers at any one time.
A)True
B)False
Q2) In the end-of-chapter CARE International case study, an optimization model was used to decide on warehouse ________.
Q3) List four difficulties that may arise when analyzing multiple goals.
Q4) ________ tables conveniently organize information and knowledge in a systematic, tabular manner to prepare it for analysis and consideration of alternatives.
Q5) Decision trees are best suited to solve what types of problems?
A) problems with a large number of alternatives
B) problems with a tabular representation
C) problems where probabilities are unknown
D) problems with a single goal
Q6) In mathematical programming, of available solutions, the ________ solution is the best; i.e., the degree of goal attainment associated with it is the highest.
Page 11
Q7) Most quantitative models are based on solving for a single ________.
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Chapter 10: Modeling and Analysis: Heuristic Search
Methods and Simulation
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Sample Questions
Q1) Heuristic programming is the process of using heuristics in problem solving. This is done via heuristic search methods. Give a brief definition of the term heuristics.
Q2) In MSS, ________ is a technique for conducting experiments (e.g., what-if analyses) with a computer on a model of a management system.
Q3) What is the final stage of an agent-based modeling (ABM) methodology?
A) identifying the agents and determining their behavior
B) determining the suitability of ABM
C) validating agent behavior against reality
D) determining agent-related data
Q4) In the Chilean government case study, the government used complete enumeration to find the optimal solution for deciding meal providers to schools.
A)True
B)False
Q5) Which approach is most suited to structured problems with little uncertainty?
A) simulation
B) genetic algorithms
C) optimization
D) human intuition
Page 12
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Chapter 11: Automated Decision Systems and Expert Systems
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Sample Questions
Q1) What are three components that may be included in an expert system in addition to the three major components found in virtually all expert systems?
Q2) The knowledge base in an expert system must correspond exactly to the format of the knowledge base in the organization where it will be utilized.
A)True
B)False
Q3) ________ chaining is a data-driven approach in which we start from available information as it becomes available or from a basic idea, and then we try to draw conclusions.
Q4) Expert systems mimic the reasoning process of ________ experts in order to solve problems.
Q5) An ________ infers situation descriptions from observations, and explains observed data by assigning them symbolic meanings that describe the situation.
Q6) A person's decision performance and level of knowledge are typical criteria that determine their level of expertise in a particular subject.
A)True
B)False
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Chapter 12: Knowledge Management and Collaborative Systems
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Sample Questions
Q1) ________ knowledge is defined as "know-how." An example may be a step-by-step description of how to administer a particular drug.
Q2) A group support system (GSS) is any combination of hardware and ________ that enhances groupwork.
Q3) Nonaka (1991) used the term ________ knowledge for the knowledge that exists in the head but not on paper.
Q4) Once you have a lot of compiled user generated information collected through the web, it is immediately available for use in a knowledge management system.
A)True
B)False
Q5) In group decision making, a virtual team is one that meets in one geographical location using information technology.
A)True
B)False
Q6) The two fundamental approaches to knowledge management are the process approach and the practice approach. Explain the differences between them.
Q7) ________-based groupware is the norm for anytime/anyplace collaboration.
Page 14
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Chapter 13: Big Data and Analytics
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Sample Questions
Q1) When considering Big Data projects and architecture, list and describe five challenges designers should be mindful of in order to make the journey to analytics competency less stressful.
Q2) Under which of the following requirements would it be more appropriate to use Hadoop over a data warehouse?
A) ANSI 2003 SQL compliance is required
B) online archives alternative to tape
C) unrestricted, ungoverned sandbox explorations
D) analysis of provisional data
Q3) 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.
Q4) 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.
Q5) Companies with the largest revenues from Big Data tend to be
A) the largest computer and IT services firms.
B) small computer and IT services firms.
C) pure open source Big Data firms.
D) non-U.S. Big Data firms.
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Chapter 14: Business Analytics: Emerging Trends and Future Impacts
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Sample Questions
Q1) ________, which stands for Asynchronous JavaScript and XML, is an effective and efficient Web development technique for creating interactive Web applications.
Q2) Describe your understanding of the emerging term people analytics. Are there any privacy issues associated with the application?
Q3) Service-oriented thinking is one of the fastest growing paradigms in today's economy. Which of the following is NOT a characteristic of service-oriented DSS?
A) reusability
B) substitutability
C) extensibility
D) originality
Q4) Which component of service-oriented DSS includes such examples as optimization, data mining, text mining, simulation, automated decision systems?
A) application programming interface
B) analytics
C) operations and administration
D) metadata management
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