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






2. The _______________________ represents the source data for the DW. This layer is comprised - primarily - of operational transaction processing systems and external secondary databases.






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






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






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






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






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






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






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






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






11. A synonym for data mining






12. An ___________ relates two other objects.






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






14. 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)






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






16. 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.






17. The product of two tables is also called the ________ product.






18. Are a data mining technology.






19. ___________ determines exactly what level of detail constitutes a fact record.






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






21. The SQL command for deleting the Warehouse field from the Part table is _____.






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






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






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






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






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






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






28. 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.






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






30. The _____ operation of two tables results in a single table with the same columns as the first table - and containing all rows that are in the first table merged with all the rows in the second table - minus any duplicate rows.






31. An analytical-oriented organizational structure is a data warehouse _____________.






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






33. Twice as likely to identify the important class (compared to avg. prevalence)






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






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






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






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






38. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.






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






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






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






42. To add a new row to a table - use the _____ command.






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






44. 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






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






46. 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 ________________.






47. Within most organizations - the person known as the _____ determines the type of access various users can have to the corporate or enterprise database.






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






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






50. 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