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