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