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Test your basic knowledge |
Data Mining
Start Test
Study First
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. The product of two tables is also called the ________ product.
Document Analyzer
aggregate
Cartesian
Breakeven analysis
2. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
average error
Cartesian
the relationship
dimension
3. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
Count
numeric prediction
OLAP
database administrator
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)
measuring predictive error
surrogate key
maximum
Association
5. An ___________ relates two other objects.
association semantic object
OLAP
Document Analyzer
market basket analysis
6. 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.
Group By
semantic object
MOLAP
OLAP
7. Within most organizations - the person known as the _____ determines the type of access various users can have to the corporate or enterprise database.
changing/UPDATE-ing
decile chart
groves law
database administrator
8. The deletion of a record that also deletes related records is referred to as a(n) _____.
cascading delete
Document Analyzer
Breakeven analysis
association semantic object
9. Twice as likely to identify the important class (compared to avg. prevalence)
decile chart
transformation mapping
changing/UPDATE-ing
Sum
10. Are a data mining technology.
drill-across report
Top-down approach
groves law
neural networks & Decision Trees
11. 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.
MOLAP
artificial Key
drill-across report
Cartesian
12. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
composite semantic objects
Referential integrity
data mart
aggregate
13. The SQL command for deleting the Warehouse field from the Part table is _____.
Transformation
Breakeven analysis
drill-across report
ALTER TABLE Part DELETE Warehouse;
14. 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.
Scope creep
OLAP
UNION
Group By
15. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
changing/UPDATE-ing
the relationship
Fact or Measurement table
Cartesian
16. Which function should be used to calculate the total of all entries in a given column?
principle component analysis
Referential integrity
Sum
knowledge data discovery
17. Gives us an idea of the magnitude of errors. Actual value - estimated value.
DROP TABLE Salesrep;
MAE (Mean Absolute Error) deviation
Scope creep
changing/UPDATE-ing
18. To add a new row to a table - use the _____ command.
Insert
semantic object (SOL) attribute
DROP TABLE Salesrep;
decile chart
19. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
data visualization
maximum
aggregate
The degree of granularity
20. An economic feasibility measure. So is Internal rate of return.
principle component analysis
Scope creep
Breakeven analysis
market basket analysis
21. The SQL built-in functions - which may appear on the same line as the SELECT statement (before the FROM clause) are called _____ functions.
artificial Key
Association
maximum
aggregate
22. A _____________ is a system-generated primary key.
n
surrogate key
The degree of granularity
Association
23. 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 ________________.
PRIMARY KEY (CustomerNum)
system catalog
transformation mapping
market basket analysis
24. The _______________________ represents the source data for the DW. This layer is comprised - primarily - of operational transaction processing systems and external secondary databases.
knowledge data discovery
operational and external layer
Group By
maximum
25. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
Scope creep
artificial Key
surrogate key
machine learning
26. ___________ determines exactly what level of detail constitutes a fact record.
MAE (Mean Absolute Error) deviation
The degree of granularity
Revoke
composite semantic objects
27. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
semantic object (SOL) attribute
groves law
database administrator
Association
28. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
surrogate key
performance metrics - Numeric Prediction
changing/UPDATE-ing
Transformation
29. This is not considered one of the four major categories of processing algorithms and rule approaches.
Horizontal integration
the relationship
principle component analysis
maximum
30. 'Signatures' are used for intrusion detection by _______?
recognizing known patterns
system catalog
Breakeven analysis
principle component analysis
31. _________ 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.
artificial Key
Horizontal integration
knowledge data discovery
Insert
32. ___________________ 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
Regression analysis
Transformation
knowledge data discovery
Into
33. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
Transformation
n
artificial Key
Breakeven analysis
34. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
MOLAP
MAE (Mean Absolute Error) deviation
project readiness assessment factor
composite semantic objects
35. You can save the results of a query as a table by including the _____ clause in the query.
Into
UNION
maximum
Top-down approach
36. Which clause would be used to create groups of records?
Group By
recognizing known patterns
Horizontal integration
knowledge data discovery
37. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
principle component analysis
degrees of summarization
Horizontal integration
Top-down approach
38. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
association semantic object
MOLAP
groves law
semantic object
39. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
ERD Modeling
decile chart
semantic object
semantic object (SOL) attribute
40. 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
UNION
aggregate
Transformation
lift charts
41. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
semantic object (SOL) attribute
dimension
changing/UPDATE-ing
decile chart
42. Information about tables in the database is kept in the _____.
artificial Key
OLAP
system catalog
changing/UPDATE-ing
43. 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
association semantic object
aggregate
lift charts
performance metrics - Numeric Prediction
44. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
Referential integrity
operational and external layer
MAE (Mean Absolute Error) deviation
degrees of summarization
45. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.
ERD Modeling
system catalog
data mining
Association
46. 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:
market basket analysis
system catalog
semantic object
knowledge data discovery
47. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
degrees of summarization
Top-down approach
Count
numeric prediction
48. A synonym for data mining
knowledge data discovery
dimension
Breakeven analysis
Association
49. These are considered an alternate storage techniques for data warehousing include.
cascading delete
project readiness assessment factor
near-line secondary storage devices
data mining
50. An analytical-oriented organizational structure is a data warehouse _____________.
project readiness assessment factor
Scope creep
decile chart
Document Analyzer