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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 minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
semantic object (SOL) attribute
Cartesian
n
project readiness assessment factor
2. Which function should be used to calculate the total of all entries in a given column?
Sum
Referential integrity
aggregate
semantic object (SOL) attribute
3. 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.
Count
MOLAP
system catalog
OLAP
4. 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:
recognizing known patterns
MAE (Mean Absolute Error) deviation
Document Analyzer
market basket analysis
5. You can save the results of a query as a table by including the _____ clause in the query.
Into
numeric prediction
Regression analysis
principle component analysis
6. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
aggregate
maximum
machine learning
surrogate key
7. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
Referential integrity
data mart
Association
data mining
8. 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
performance metrics - Numeric Prediction
Group By
Referential integrity
data visualization
9. 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) ____________.
operational and external layer
Group By
artificial Key
decile chart
10. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
ERD Modeling
degrees of summarization
Scope creep
The degree of granularity
11. 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 ________________.
system catalog
semantic object (SOL) attribute
transformation mapping
cascading delete
12. The SQL command for deleting the Warehouse field from the Part table is _____.
Into
cascading delete
ALTER TABLE Part DELETE Warehouse;
principle component analysis
13. The _______________________ represents the source data for the DW. This layer is comprised - primarily - of operational transaction processing systems and external secondary databases.
market basket analysis
Revoke
performance metrics - Numeric Prediction
operational and external layer
14. To add a new row to a table - use the _____ command.
PRIMARY KEY (CustomerNum)
volatile data
Insert
database administrator
15. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
degrees of summarization
lift charts
transformation mapping
ERD Modeling
16. Gives us an idea of the magnitude of errors. Actual value - estimated value.
data visualization
Document Analyzer
MAE (Mean Absolute Error) deviation
average error
17. 'Signatures' are used for intrusion detection by _______?
MOLAP
ERD Modeling
Group By
recognizing known patterns
18. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
the relationship
The degree of granularity
data mart
neural networks & Decision Trees
19. A compound semantic object is an object that contains at least one ____.
n
neural networks & Decision Trees
project readiness assessment factor
semantic object (SOL) attribute
20. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
artificial Key
average error
Association
Document Analyzer
21. This is not considered one of the four major categories of processing algorithms and rule approaches.
principle component analysis
semantic object
dimension
cascading delete
22. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
groves law
Top-down approach
neural networks & Decision Trees
Cartesian
23. The product of two tables is also called the ________ product.
lift charts
degrees of summarization
Cartesian
numeric prediction
24. Which clause would be used to create groups of records?
UNION
Fact or Measurement table
Group By
Count
25. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
Cartesian
Association
machine learning
Referential integrity
26. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
composite semantic objects
association semantic object
changing/UPDATE-ing
degrees of summarization
27. Information about tables in the database is kept in the _____.
the relationship
association semantic object
artificial Key
system catalog
28. 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.
artificial Key
MOLAP
changing/UPDATE-ing
data mining
29. These are considered an alternate storage techniques for data warehousing include.
market basket analysis
project readiness assessment factor
machine learning
near-line secondary storage devices
30. A ___________ combines result sets from more than one fact table.
Top-down approach
drill-across report
n
maximum
31. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
recognizing known patterns
n
groves law
data mining
32. ___________ determines exactly what level of detail constitutes a fact record.
near-line secondary storage devices
The degree of granularity
decile chart
maximum
33. Within most organizations - the person known as the _____ determines the type of access various users can have to the corporate or enterprise database.
maximum
database administrator
Transformation
decile chart
34. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
numeric prediction
dimension
semantic object
project readiness assessment factor
35. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
near-line secondary storage devices
maximum
surrogate key
Referential integrity
36. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.
maximum
semantic object (SOL) attribute
ERD Modeling
Into
37. An ___________ relates two other objects.
association semantic object
recognizing known patterns
lift charts
Top-down approach
38. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
The degree of granularity
operational and external layer
changing/UPDATE-ing
Sum
39. 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)
Breakeven analysis
Scope creep
database administrator
measuring predictive error
40. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
average error
principle component analysis
Count
database administrator
41. Which statement removes the table Salesrep from a DBMS?
changing/UPDATE-ing
DROP TABLE Salesrep;
recognizing known patterns
composite semantic objects
42. To create the primary key clause for the Customer table on the CustomerNum field - which of the following is the correct statement?
PRIMARY KEY (CustomerNum)
decile chart
transformation mapping
Cartesian
43. Are a data mining technology.
Regression analysis
changing/UPDATE-ing
neural networks & Decision Trees
Scope creep
44. The process by which numerical data is converted into graphical images is referred to as:
association semantic object
data visualization
neural networks & Decision Trees
transformation mapping
45. The deletion of a record that also deletes related records is referred to as a(n) _____.
cascading delete
Association
aggregate
numeric prediction
46. 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
lift charts
Breakeven analysis
UNION
knowledge data discovery
47. A synonym for data mining
degrees of summarization
knowledge data discovery
recognizing known patterns
Breakeven analysis
48. Which statement will take away user privileges to the database?
average error
neural networks & Decision Trees
Revoke
OLAP
49. An analytical-oriented organizational structure is a data warehouse _____________.
project readiness assessment factor
lift charts
Regression analysis
semantic object
50. _________ 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.
Horizontal integration
Association
Transformation
decile chart