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






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






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






4. 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 ________________.






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






6. 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) ____________.






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






8. 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.






9. 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






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






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






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






13. 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:






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






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






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






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






18. An ___________ relates two other objects.






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






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






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






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






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






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






25. _________ seeks to ensure that each application under development is fully integrated within its own boundaries and to eliminate any inconsistencies in the final software product.






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






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






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






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






30. A synonym for data mining






31. Are a data mining technology.






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






33. 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.






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






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






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






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






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






39. ___________________ 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






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






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






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






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






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






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






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






47. 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)






48. 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






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






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