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






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






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






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






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






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






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






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






9. 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:






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






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






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






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






14. 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






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






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






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






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






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






20. 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 ________________.






21. A single column that you create for an entity to serve as the primary key - because you otherwise would need many concatenated columns to do so - is called a(n) ____________.






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






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






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






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






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






27. 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






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






29. Are a data mining technology.






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






31. 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.






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






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






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






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






36. Which statement will take away user privileges to the database?






37. ___________________ 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






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






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






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






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






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






43. A synonym for data mining






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






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






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






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






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






49. Information about tables in the database is kept in the _____.






50. 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.