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