MIS Chapter 11 & 6 Quiz Questions
In a student database, a column called LastName would be an example of a(n) _____________. A. relationship B. attribute C. entity D. file E. record
B. attribute
A(n) _____________ is a database whose content focuses on historical organizational data. A. historical data house B. data warehouse C. data historicity D. Access Database E. SQL Server
B. data warehouse
Relational tables need to be ______________ to help avoid duplicate data. A. ethically analyzed B. normalized C. entitled D. task modeled E. relationally modeled
B. normalized
________ is a term that hardware and software vendors and information technology consultants use to describe the infrastructure for warehousing, integrating, reporting, and analyzing data that come from the business environment. A. Online analytical processing (OLAP) B. Enterprise resource planning (ERP) C. Business Intelligence (BI) D. International Business Management (IBM) E. Business analytics (BA)
C. Business Intelligence (BI)
________________ work by creating binary strings (e.g., 0s and 1s) to find optimal solutions based on a large number of possibilities. A. Neural networks B. Learning management systems C. Genetic algorithms D. Structured systems E. Knowledge management systems
C. Genetic algorithms
Which of the following statements about Hadoop is FALSE? A. Hadoop breaks a big data problem down into sub-problems. B. Hadoop combines results into a smaller data set that is easier to analyze. C. Hadoop extracts data from multiple tables that have a relationship. D. Hadoop is an open source software framework. E. Hadoop's MapReduce was inspired by Google's system for processing huge data sets.
C. Hadoop extracts data from multiple tables that have a relationship.
________________ are unique because the technology is based on the human brain and focuses on pattern recognition from large data sets. A. Learning management systems B. Structured systems C. Neural networks D. Database management systems E. Knowledge management systems
C. Neural networks
in the most ambitious vision, ________ involves the attempt to build computer systems that think and act like humans. A. massive online open courses B. mandatory online open classes C. artificial intelligence D. meaningful online operations courses E. meaningful online courses
C. artificial intelligence
The infrastructure for warehousing, integrating, reporting, and analyzing data to help with decisions and plans is called _____________. A. instructional technology B. business wisdom C. business intelligence D. knowledge management E. business analytics
C. business intelligence
An organization interested in a popular open source DBMS on the market would adopt ____________. A. Oracle Database B. DB2 C. Access D. MySQL E. Server SQL
D. MySQL
_______________ databases are by far the most popular type of database on the market today. A. Meta B. Flat C. Class-oriented D. Relational E. Object-oriented
D. Relational
Which of the following is a popular way to describe relationships (i.e., one-to-one, one-to-many) in a relational database? A. Process model B. Data flow diagram C. Task model D. Data descriptor method E. Entity-relationship diagram
E. Entity-relationship diagram
The term ____________ describes data sets like Google's database that are too big for traditional DBMS to handle. A. Big Data B. Oracle Database C. Excel D. Access E. analytics
A. Big Data
Which of the following is used by companies to detect and correct incomplete, redundant, or incorrect data? A. Data scrubbing B. Referential integrity C. Data mining D. Primary key E. SQL
A. Data scrubbing
Which of the following is NOT a function of a data warehouse? A. Filter data B. Catalog data C. Organize and relate data D. Cleanse data E. Obtain datam
A. Filter data
____________________ is the most popular open-source program that allows for storage and analysis of big data. A. Hadoop B. Access C. SQL Server D. Teradata Intelligent Memory E. DBMS
A. Hadoop
Which of the following statements about Microsoft Access is FALSE? A. Microsoft Access lacks report generation capabilities. B. Microsoft Access has capabilities for developing desktop system applications. C. Microsoft Access has rudimentary data dictionary capabilities. D. Microsoft Access is a DBMS. E. Microsoft Access works with Crystal Reports, a popular report generator.
A. Microsoft Access lacks report generation capabilities.
Which of the following statements about artificial intelligence is true? A. So far, there are no computer programs that have demonstrated generalized human intelligence or common sense. B. AI systems include all the characteristics of generalized human intelligence. C. AI systems communicate with humans easily using natural language. D. AI systems have demonstrated that they can apply common sense. E. AI systems can select and achieve goals.
A. So far, there are no computer programs that have demonstrated generalized human intelligence or common sense.
____________ involves providing specific examples of desired inputs and outputs to improve the performance of the machine learning system. A. Supervised learning B. Semi-structured knowledge C. Unstructured learning D. Structured knowledge E. Tacit learning
A. Supervised learning
Neural networks, expert systems, and genetic algorithms are considered _______ used with decision making. A. artificial intelligence techniques B. group decision support systems C. structured decision systems D. inference engines E. executive support systems
A. artificial intelligence techniques
A ________ is represented by a 0 or 1. A. bit B. file C. byte D. character E. megabit
A. bit
A ________ in a database represents a single character such as a letter or number. A. byte B. kilobyte C. bit D. file E. megabit
A. byte
The quality dimension of the decision-making process that addresses the ability to articulate the solution process is called the ____________ dimension. A. coherence B. due process C. accuracy D. comprehensiveness E. fairness
A. coherence
In an effort to better manage data, companies are creating ____________ for storing data from a variety of systems (i.e., web data, social media data, IoT data), including both structured and unstructured data to be analyzed at a later time. A. data lakes B. RDMSs C. data marts D. Hadoop databases E. HDFSs
A. data lakes
In a student database, a collection of related attributes such as LastName, FirstName, and StudentNumber creates a(n) _______________. A. entity B. file C. relationship D. record E. bit
A. entity
If Megan sends out unauthorized data to another organization, she has likely violated the company's ______________. A. information policy B. DBMS rules C. data warehouse policy D. primary key guidelines E. data foundations
A. information policy
Siri, a virtual assistant application on Apple's iPhone and iPad, uses natural language processing to answer questions, make recommendations, and perform actions. Siri is an example of a(n) ________. A. intelligent agent B. virtual reality device C. chatbot D. robot E. augmented reality device
A. intelligent agent
The data _______________ language allows you to retrieve information from the database (i.e., using the SELECT, FROM, WHERE commands). A. manipulation B. question C. creation D. definition E. ask
A. manipulation
A _______________ uniquely represents a record or row. A. primary key B. foreign key C. prime key D. cost key E. data key
A. primary key
What is the formal name for questioning or making a data request from the database? A. query B. A cloud C. DML D. DDL E.
A. query ~A query is a request for data from a database. In most DBMS, you would type a series of statements (i.e., SELECT, FROM, WHERE) to access data.~
In a student database, a row that describes the top student, including his or her LastName, FirstName, and StudentNumber, is an example of a(n) ______________. A. record B. group C. attribute D. field E. file
A. record
A college admission decision that is entirely based on a mathematical formula is called a(n) __________________ decision. A. structured B. instinct-based C. unstructured D. semi-structured E. random
A. structured
Which of the following is NOT a task that today's artificial intelligence systems can accomplish? A. Recognize faces and voices. B. Apply common sense. C. Play games, such as chess. D. Beat an expert human player in the Jeopardy game. E. Interpret CT scans.
B. Apply common sense.
Which of the following uses a survey to determine the accuracy of a data set? A. Data scrubbing B. Data quality audit C. Database D. Datareview E. Data cleansing
B. Data quality audit
_____________ identify patterns within massive amounts of data by building models and then making adjustments to improve those models. A. Genetic algorithms B. Neural networks C. Neutral networks D. Structured networks E. Drill downs
B. Neural networks
______________ analytics has been used by companies like FedEx to determine the impact of price changes on sales. A. Case B. Predictive C. Parameterized D. Inductive E. Integrated
B. Predictive
While many intelligent systems require human interaction to utilize and achieve a solution, _____ are built to run in the background of systems and make decisions without human intervention. A. neural networks B. intelligent agents C. genetic algorithms D. fuzzy bots E. expert systems
B. intelligent agents
A(n) __________ key uniquely identifies a row or record in a table. A. initial B. primary C. foreign D. secondary E. domestic
B. primary
Deciding on where to go to lunch based on what sounds good at the time is called a(n) ________________ decision. A. structured B. unstructured C. formula-based D. semi-structured E. random
B. unstructured
Which of the following is a FALSE statement regarding the evolution of AI? A. Natural language speech recognition errors have dropped from 15 percent to 5 percent. B. There have been few fundamental conceptual breakthroughs in AI in this period, or in understanding how humans think. C. Image recognition error rates have stabilized at about 25 percent. D. Language translation programs achieve about 85 percent accuracy compared to humans. E. AI evolution has been enhanced by the drastic reduction in the cost of computer processing and the growth in the power of processors.
C. Image recognition error rates have stabilized at about 25 percent.
Which of the following is a set of metrics that enables executives to understand how the company is doing? A. Business intelligence reports (BIR) B. Business performance metrics (BPM) C. Key performance indicators (KPI) D. Drill down reports (DDR) E. Business assessment reports (BAR)
C. Key performance indicators (KPI)
Which tool enables users to view the same data in different ways using multiple dimensions? A. Hadoop B. OLTP C. OLAP D. SQL E. Clustering
C. OLAP
What is the most prominent data manipulation language and method to "question" a database? A. Standard Query Process B. Structured Question Language C. Structured Query Language D. Simple Question Language E. Data Definition Language
C. Structured Query Language
What are the major forces driving the rapid evolution of AI? A. The advancement of image recognition programs and natural language speech recognition systems B. The refinement of algorithms by tens of thousands of AI software engineers and university research centers C. The development of Big Data databases generated by the Internet, e-commerce, the Internet of Things, and social media D. The significant investment from business and governments E. The drastic reduction in the cost of computer processing and the growth in the power of processors
C. The development of Big Data databases generated by the Internet, e-commerce, the Internet of Things, and social media
In the Star Wars movies, C-3PO is a robot that emulates human behavior and thought, which is called ________________. A. business analytics B. business intelligence C. artificial intelligence D. artificial wisdom E. business wisdom
C. artificial intelligence
Microsoft Azure SQL is an example of a _________________ database. A. local B. network C. cloud D. flat E. text
C. cloud
To improve user comprehension and learning, ______________ tools are included in business analytics software suites. A. group decision support system B. production reporting C. data visualization D. big data E. sensitivity analysis
C. data visualization
The stage of the decision-making process where identifying and exploring potential solutions takes place is the ____________ phase. A. choice B. evaluation C. design D. intelligence E. implementation
C. design
A _______________ is used to link the SUPPLIER and PART tables by entering SupplierID in the PART table A. prime key B. data key C. foreign key D. cost key E. primary key
C. foreign key
The balanced scorecard method is based on __________ dimensions of a firm's performance. A. five B. three C. four D. two E. six
C. four
Starbucks uses an application to determine where to open new stores. The application identifies geographic locations that will produce a high sales-to-investment ratio and per-store sales volume. This is an example of a(n) ________ information system. A. operational B. countrywide C. geographic D. geodesic E. case-based
C. geographic
Relational databases enforce ______________ integrity to ensure, for instance, that a teacher can't be assigned to a CLASS table unless there is already a record for that teacher in the TEACHER table. A. task model B. data flow C. referential D. ethical E. secondary
C. referential
Volkswagen Group has ________ systems that display digitally constructed interior and exterior components of a vehicle. Interior and exterior component options can be quickly changed during the design process. A. neural B. expert C. virtual reality D. learning management E. fuzzy logic
C. virtual reality
A method that allows complex business calculations to be performed on very large data sets in seconds is termed __________ computing. A. Big Data B. analytical C. in-memory D. disk-based E. power
C. in-memory
Developing a marketing plan is best characterized as a(n) ________. A. unstructured decision by senior management B. structured decision by senior management C. semi-structured decision by middle management D. structured decision by operational management E. structured decision by middle management
C. semi-structured decision by middle management
Which of the following best describes a pivot table? A. A chart tool that can rotate columnar data quickly and visually B. A visual tool for presenting performance data that users define C. A tool for performing a sensitivity analysis D. A spreadsheet tool that allows users to filter data and isolate the impact of one or more parameters E. A tool with the capabilities for linear forecasting, what-if scenario analysis, and data analysis, using standard statistical tools
D. A spreadsheet tool that allows users to filter data and isolate the impact of one or more parameters
Which statement about big data is FALSE? A. Big data can consist of multimedia files like graphics, audio, and video. B. Big data is generated rapidly. C. "Big data" data sets are at least a petabyte in size. D. Big data can be processed with traditional techniques. E. Big data has a variety of data with structured data and free-form text and logs.
D. Big data can be processed with traditional techniques.
Which of the following statements about relational databases is FALSE? A. A customer's name would not make a good primary key. B. A primary key cannot be duplicated. C. A foreign key can be duplicated. D. Each table must have a one-to-one relationship to another table. E. The entity-relationship diagram depicts the relationships among tables in a database.
D. Each table must have a one-to-one relationship to another table.
Which term refers to software programs that help with repetitive and predictable tasks (i.e., Apple's Siri)? A. Wisdom agent B. Knowledge agent C. Learning agent D. Intelligent agent E. Genetic agent
D. Intelligent agent
Which statement about managing and controlling data within a company is FALSE? A. Large companies may have several departments, each handling specific tasks involving data assurance for the firm. B. An information policy establishes who can access what information within a firm. C. An information policy would establish who in human resources could access employee data. D. The actual physical database is never created by the database administration of a company. E. As part of control, a firm may set a policy about passwords for accessing data.
D. The actual physical database is never created by the database administration of a company.
A _______________ is represented as a column in a database table that represents things like a person's first name, last name, and age. A. bit B. file C. record D. field E. byte
D. field
Volkswagen Group is experimenting with ________ to speed up vehicle design and development and to identify potentially costly design problems earlier in the development cycle. A. predictive analytics B. crowdsourcing C. augmented reality D. virtual reality E. analytical simulations
D. virtual reality
Which component of the decision-making process consists of discovering, identifying, and understanding organizational problems? A. Choice B. Design C. Implementation D. Wisdom E. Intelligence
E. Intelligence
If you need a DBMS for large commercial use on a mainframe, which of the following is a viable option? A. Microsoft Excel B. Microsoft Explorer C. Microsoft Project D. Microsoft Access E. Microsoft SQL Server
E. Microsoft SQL Server
____________ reports allow users to enter several variables (i.e., region and date) to produce a decision-making report. A. Inductive B. Integrated C. Drill-down D. Predictive E. Parameterized
E. Parameterized
What is the first step in effectively managing data for a firm? A. Normalize the data. B. Back up the data. C. Cleanse the data. D. Audit the data quality. E. Specify the information policy.
E. Specify the information policy.
Which of the following does NOT need to be addressed in an organization's information policy? A. Who is responsible for updating and maintaining the information B. Where information can be distributed C. Which users and organizational units can share information D. Procedures and accountabilities around managing data resources E. What the relationships inside the data are
E. What the relationships inside the data are
A quick report created by the user that is based on his or her own SQL code is called a(n) __________ report. A. parameterized B. forecast model C. scenario model D. drill down E. ad hoc
E. ad hoc
Creating visual representations of data through charts, graphs, and dashboards is formally called ____________________. A. knowledge management B. report visualization C. HTML reporting D. database development E. data visualization
E. data visualization
The purpose of a(n) _________ system is to capture best practice solutions and program them into a set of rules in a software program. A. knowledge B. learning C. amateur D. hybrid E. expert
E. expert
The most common use of non-relational database management systems is for managing ________. A. text data only B. data within local area networks C. customer relationship data D. smaller data sets from corporate partners E. extremely large data sets
E. extremely large data sets
Data ________ is important because it establishes an organization's rules for sharing, disseminating, acquiring, standardizing, and classifying data. A. processing B. administration C. auditing D. ownership E. governance
E. governance
An advantage of the balanced scorecard framework is the ability to automate the flow of information on __________, so that executives are kept fully informed about business performance. A. what-if analyses B. indirect goods C. scenarios D. location analysis E. key performance indicators
E. key performance indicators
Most AI development today involves some kind of ________. A. expert system B. inference engine C. IF-THEN rules D. thorough in-depth interviews E. machine learning
E. machine learning
The financial industry uses ________ to discern patterns in vast pools of data that might help investment firms predict the performance of equities, corporate bond ratings, or corporate bankruptcies. A. intelligent agents B. unsupervised learning C. genetic algorithms D. supervised learning E. neural networks
E. neural networks
The quality dimension of the decision-making process that addresses efficiency of resource utilization of affected parties is called the __________ dimension. A. coherence B. comprehensiveness C. due process D. fairness E. speed
E. speed
Unlike business intelligence (BI), business analytics (BA) focuses mostly on ________. A. data warehousing B. integrating data C. data management D. SQL E. tools and techniques for analyzing data
E. tools and techniques for analyzing data
The "3V's" used to characterize big data include volume, variety, and _______. A. veracity B. vigor C. vastness D. value E. velocity
E. velocity
_____________ are used to find an optimal solution for specific problems by examining a very large number of alternative solutions for that problem. A. Drill-down patterns B. Geo-parsing methods C. Neural networks D. Structured logic E. Genetic algorithms
E. Genetic algorithms
Which of the following statements about a business intelligence environment is FALSE? A. All BI environments require a set of software tools used to analyze and track the progress of the business. B. Data from a business environment is both structured and unstructured. C. Today's BI environment features suites for data visualization that enhance learning and interpretation. D. The underlying foundation of BI is a powerful database system. E. A business intelligence (BI) environment is expensive to purchase.
E. A business intelligence (BI) environment is expensive to purchase.
Which of the following is an example of a DBMS desktop system geared toward smaller business data needs? A. Oracle Database B. MySQL C. SQL Server D. DB2 E. Access
E. Access ~Microsoft Access is a DBMS for desktop systems, whereas DB2, Oracle Database, and Microsoft SQL Server are DBMS for large mainframes and midrange computers. MySQL is a popular open-source DBMS. All these products are relational DBMSs that support a relational database.~
Which of the following involves searching for patterns and relationships among data? A. Knowledge management B. Data marting C. Data warehousing D. Data processing E. Data mining
E. Data mining