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