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






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






3. 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 ________________.






4. 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.






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






6. An ___________ relates two other objects.






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






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






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






10. 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:






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






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






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






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






15. 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)






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






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






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






19. 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






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






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






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






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






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






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






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






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






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






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






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






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






32. 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.






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






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






35. 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) ____________.






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






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






39. 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.






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






41. _________ 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.






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






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






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






45. To create the primary key clause for the Customer table on the CustomerNum field - which of the following is the correct statement?






46. 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






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






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






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






50. A synonym for data mining