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