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