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