MIS MC ch9.txt

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isatonk
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150078
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MIS MC ch9.txt
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2012-04-25 14:19:41
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UNT BCIS3610 test2 ch9 MultipleChoice
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Review questions, multiple choice only, test 2, chapter 9
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  1. ________ is defined as information containing patterns, relationships, and trends. A) Business process management B) Process mining C) Business intelligence D) Spatial intelligence
    C) Business intelligence
  2. 1 petabyte is made up of ________ bytes. A) 10^12 B) 10^6 C) 10^15 D) 10^18
    C) 10^15
  3. Which of the following can store the maximum amount of data? A) 1 gigabyte (GB) B) 1 exabyte (EB) C) 1 petabyte (PB) D) 1 terabyte (TB)
    B) 1 exabyte (EB)
  4. How big in 1 gigabyte? A) 10^9 bytes B) 10^6 bytes C) 10^3 bytes D) 10^12 bytes
    A) 10^9 bytes
  5. ________ tools are programs that read data from a variety of sources, process that data, format it into structured reports, and deliver those reports to the users who need them. A) Reporting B) Knowledge-management C) XML D) Data-mining
    A) Reporting
  6. Which of the following is an example of a question that a reporting tool will help address? A) What is the probability that a customer is likely to respond positively to a promotion? B) What is the likelihood of an event happening? C) Will a given customer default on a loan? D) How does the current situation compare to the past?
    D
  7. What are reporting tools primarily used for? A) assessment B) predictions C) data mining D) testing
    A
  8. In most cases, data-mining tools are used to make ________. A) assessments B) repositories C) predictions D) transitions
    C
  9. Which of the following is an example of a question that data-mining will help address? A) Will a given customer default on a loan? B) What has happened in the last two years? C) How does the current situation compare to the situation one year ago? D) What is the current situation?
    A
  10. Among the following, which is the best way to distinguish between reporting tools and data-mining tools? A) objective of using these tools B) type of data used C) difference in input information D) complexity of techniques used
    D
  11. Knowledge-management tools differ from reporting and data-mining tools because the source of their data is ________. A) human knowledge B) recorded facts and figures C) empirical research D) government databases
    A
  12. Which of the following is a description of a business intelligence (BI) application? A) It is an information system that employs BI tools to deliver information. B) It implements the logic of a particular procedure or process. C) It stores employee knowledge and makes it available to those who need it. D) It is the use of a tool on a particular type of data for a particular purpose.
    D
  13. Which of the following is a basic operation used by reporting tools to produce information from data? A) transposing B) calculating C) commingling D) dispersing
    B
  14. Which basic operation structures a report so that it is easier to understand? A) matching B) formatting C) calculating D) transposing
    B
  15. ________ analysis is a way of analyzing and ranking customers according to their purchasing patterns. A) RFM B) CRM C) Market-basket D) TQM
    A
  16. An RFM score of ________ most likely means that a customer has taken its business elsewhere and is probably not worth spending too many marketing resources on. A) 111 B) 121 C) 555 D) 231
    C
  17. RFM analysis ranks customers by considering the recency, frequency, and ________ of their orders. A) dollar amount B) uniformity C) timeliness D) tangibility
    A
  18. Ajax is one of the customers of a well known linen manufacturing company. Ajax has not ordered linen in some time, but when it did order in the past it ordered frequently, and its orders were of the highest monetary value. Under the given circumstances, Ajax's RFM score is most likely ________. A) 155 B) 511 C) 115 D) 151
    B
  19. A sales team should attempt to up- sell more expensive products to a customer who has an RFM score of ________. A) 113 B) 555 C) 545 D) 311
    A
  20. How should a sales team respond to a customer who has an RFM score of 545? A) The sales team should let go of this customer; the loss will be minimal. B) Someone from the sales team should spend more time with this customer. C) Someone from the sales team should contact this customer immediately. D) The sales team should attempt to up-sell more expensive goods to this customer.
    A
  21. Rubber trees is a well known rubber manufacturing company. Bloominghams, one of the customers of Rubber trees holds an RFM score of 111. Which of the following characteristics relates Bloominghams with its RFM score? A) Bloominghams has ordered recently and orders frequently, and it orders the most expensive goods. B) Bloominghams has not ordered for some time, it did not order frequently, and, when it did order, it bought the least-expensive items. C) Bloominghams has not ordered in some time, but when it did order in the past it ordered frequently, and its orders were of the highest monetary value. D) Bloominghams has ordered recently and orders frequently, but it orders the least expensive goods.
    D
  22. OLAP stands for ________. A) organizational lead analysis process B) object-based lead analysis procedure C) object-oriented analytical protocol D) online analytical processing
    D
  23. The viewer of an OLAP report can change its format. Which term implies this capability? A) processing B) online C) analytical D) dimension
    B
  24. An OLAP report has measures and dimensions. Which of the following is an example of a dimension? A) sales region B) average cost C) total sales D) average sales
    A
  25. Which of the following describes a dimension in an OLAP report? A) It is the item that is processed in the OLAP report. B) It is a characteristic of a measure. C) It is referred to as a decision tree. D) It is the data item of interest.
    B
  26. An OLAP report has measures and dimensions. Which of the following is an example of a measure? A) customer location B) customer type C) average cost D) sales region
    C
  27. Because they are online, OLAP reports are ________ reports. A) dynamic B) extensible C) pull D) push
    A
  28. An ________ and an OLAP report are the same thing. A) OLAP array B) OLAP cube C) OLAP dimension D) OLAP measure
    B
  29. Which of the following observations is true? A) RFM reports have measures and dimensions. B) RFM is more generic than OLAP. C) OLAP reports are more dynamic than RFM reports. D) RFM reports can drill down into the data.
    C
  30. ________ reports allow users to drill down into the data and divide it into more detail. A) Static B) OLAP C) Push D) RFM
    B
  31. ________ is the application of statistical techniques to find patterns and relationships among data for classification and prediction. A) Database normalization B) Data warehousing C) Data optimization D) Data mining
    D
  32. Which term is used as a synonym for data mining? A) regression analysis B) parallel processing C) knowledge discovery in databases D) data warehousing and sorting
    C
  33. Which of the following is true of unsupervised data mining? A) Analysts use tools such as regression analysis. B) Analysts apply statistical techniques to data to estimate parameters of a model. C) Analysts fit data to suggested hypotheses. D) Analysts do not create a model or hypothesis before running the analysis.
    D
  34. In ________, statistical techniques identify groups of entities that have similar characteristics. A) regression analysis B) expert systems C) cluster analysis D) neural networks
    C
  35. Which of the following is an example of an unsupervised data-mining technique? A) regression analysis B) data streaming C) cluster analysis D) neural networks
    C
  36. Which of the following is an example of a supervised data-mining technique? A) regression analysis B) a decision tree C) cluster analysis D) data sorting
    A
  37. Which of the following is used to show the products that customers tend to buy together? A) regression analysis B) neural networks C) market-basket analysis D) cluster analysis
    C
  38. In marketing transactions, the fact that customers who buy product X also buy product Y creates a(n) ________ opportunity. That is, "If they're buying X, sell them Y," or "If they're buying Y, sell them X." A) cross-selling B) portfolio C) upselling D) break-even
    A
  39. In market-basket terminology, ________ is the term that describes the probability that two items will be purchased together. A) support B) lift C) dimension D) confidence
    A
  40. In market-basket terminology, the ratio of confidence to the base probability of buying an item is the ________. A) granularity B) support C) lift D) drill down
    C
  41. Which of the following is a hierarchical arrangement of criteria that predict a classification or a value? A) cluster analysis B) a value chain C) a neural network D) a decision tree
    D
  42. Because of problems with operational data, many organizations choose to extract operational data into a(n) ________. A) EDI application B) OLAP server C) data warehouse D) neural network
    C
  43. A data warehouse contains a special database that stores the ________, which records the source, format, assumptions and constraints, and other facts about the data. A) clickstream data B) media format C) metadata D) dimensional data
    C
  44. Problematic operational data are termed ________. A) bad data B) rough data C) granular data D) dirty data
    D
  45. Which of the following statements is true about operational data? A) Problematic operational data are termed rough data. B) If the data granularity is too fine, there is no way to separate the data into constituent parts. C) It is always better to have data with too coarse a granularity than a data with too fine a granularity. D) Purchased operational data often contains missing elements.
    D
  46. Because of a phenomenon called the ________, the more attributes there are, the easier it is to build a model that fits the sample data but that is worthless as a predictor. A) curse of dimensionality B) diseconomies of scale C) attribute paradox D) uncertainty principle
    A
  47. A ________ takes data from data manufacturers, cleans and processes the data, and then stores it. A) data mine B) data mart C) data mint D) data warehouse
    D
  48. Which of the following statements of data mart is true? 98) A) It addresses a particular component or functional area of a business. B) Its users possess the data management expertise that data warehouse employees have. C) It is larger than the data warehouse. D) It is like a distributor in supply chain.
    A
  49. A ________ is a data collection, smaller than the datawarehouse, that addresses a particular component or functional area of the business. A) data mint B) data mart C) data mine D) data model
    B
  50. ________ is the process of creating value from intellectual capital and sharing that knowledge with employees, managers, suppliers, customers, and others who need it. A) Competitive intelligence B) Repository management C) Knowledge management D) Intellectual property protection
    C
  51. Which of the following is a major category of knowledge assets? A) suppliers B) employees C) customers D) distributors
    B
  52. ________ is the single most important content function in knowledge management applications. A) Sourcing B) Indexing C) Sorting D) Retrieving
    B
  53. The world's best-known indexing engine is operated by ________. A) IBM B) RSS C) Google D) Yahoo
    C
  54. Which of the following is a standard for subscribing to content sources? A) Knowledge Discovery in Databases B) Real Simple Syndication C) Online Analytical Processing D) Data Transfer Protocol
    B
  55. With a(n) ________ you can subscribe to content sources and be notified when they have been changed. A) KM feed B) BI feed C) index reader D) RSS reader
    D
  56. ________ attempt to capture human expertise and put it into a format that can be used by nonexperts. A) CNC systems B) Fuzzy logic systems C) Expert systems D) Neural networks
    C
  57. Which of the following observations concerning expert systems is true? A) The "If...then" rules used in these systems are created by mining data. B) They are easy to maintain. C) They are difficult and expensive to develop. D) They have lived up to the high expectations set by their name.
    C
  58. Portal servers are like Web servers except that they ________. A) have no load limit B) use Hypertext Transfer Protocol C) deliver content, such as Web pages D) have a customizable user interface
    D
  59. An alert sent to you is an example of ________ technology. A) OLAP B) pull C) static D) push
    D
  60. A(n) ________ notifies the user of an exceptional event, such as a dramatic fall in a stock price. A) exception alert B) expert system C) scheduled update D) pull message
    A

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