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