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