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