Test your basic knowledge |

Data Mining

Subject : it-skills
Instructions:
  • Answer 50 questions in 15 minutes.
  • If you are not ready to take this test, you can study here.
  • Match each statement with the correct term.
  • Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.

This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. Within most organizations - the person known as the _____ determines the type of access various users can have to the corporate or enterprise database.






2. Which statement removes the table Salesrep from a DBMS?






3. When an entity has a minimum cardinality of one it means the entity is required in _______.






4. Not the same as goodness-of-fit; We want to know how well the model predicts new data - not how well it fits the data it was trained with; Key component of most measures is difference between actual y and predicted y (error)






5. Are a data mining technology.






6. Which function should be used to calculate the total of all entries in a given column?






7. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.






8. Increased affordability of ____________ is a reason for the growth in popularity of data mining.






9. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?






10. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.






11. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.






12. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____






13. A compound semantic object is an object that contains at least one ____.






14. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.






15. Gives us an idea of the magnitude of errors. Actual value - estimated value.






16. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.






17. A synonym for data mining






18. An ___________ relates two other objects.






19. ___________ is not a characteristic of a data warehouse.






20. The SQL built-in functions - which may appear on the same line as the SELECT statement (before the FROM clause) are called _____ functions.






21. R- squared(and adjusted r-squared) - A measure of how much of the variability around the target mean is explained by your predictive variables. Doesn't mean you have a good predictive model—only validation will tell you that






22. Which function calculates the number of entries in a table?






23. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?






24. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.






25. ___________________ is used to relate one set of outcomes (dependent variable) to a set of predictor (independent) variables (e.g. - in time series analysis). Through this analysis we attempt to predictive future events - as the dependent variables b






26. Which clause would be used to create groups of records?






27. A _____________ is a system-generated primary key.






28. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.






29. The deletion of a record that also deletes related records is referred to as a(n) _____.






30. Which of the following is at the center of a star schema?






31. The ACCESS feature that tests to see if your tables are normalized properly is the ____.






32. ____________ would not normally be associated with ROUTINE data warehouse maintenance.






33. An economic feasibility measure. So is Internal rate of return.






34. Organizes and analyzes data as an n-dimensional cube. The cube can be thought of as a common spreadsheet with two extensions: (1) support for multiple dimensions and (2) support for multiple concurrent users.






35. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM






36. These are considered an alternate storage techniques for data warehousing include.






37. 'Signatures' are used for intrusion detection by _______?






38. This is not considered one of the four major categories of processing algorithms and rule approaches.






39. Semantic object link (SOL) attributes establish a relationship between one _______ and another.






40. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.






41. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?






42. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?






43. You can save the results of a query as a table by including the _____ clause in the query.






44. The process that records how data from operational data stores and external sources are transformed on the way into the warehouse is referred to as ________________.






45. A ___________ combines result sets from more than one fact table.






46. Useful for assessing performance in terms of identifying the most important class. Helps such choices as: How many tax records to examine; How many loans to grant; How many customers to mail an offer






47. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.






48. The process by which numerical data is converted into graphical images is referred to as:






49. The term _____ has been generally agreed to represent the broadest category of software technology that enables decision makers to conduct many dimensional analysis of consolidated enterprise data.






50. A common example of the use of association methods where a retailer can mine the data generated by a point-of-sale system - such as the price scanner you are familiar with at the grocery store is referred to as: