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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. A compound semantic object is an object that contains at least one ____.
semantic object (SOL) attribute
market basket analysis
PRIMARY KEY (CustomerNum)
Cartesian
2. Are a data mining technology.
performance metrics - Numeric Prediction
neural networks & Decision Trees
near-line secondary storage devices
Transformation
3. 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
Regression analysis
MAE (Mean Absolute Error) deviation
artificial Key
4. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
semantic object
Referential integrity
the relationship
maximum
5. The _______________________ represents the source data for the DW. This layer is comprised - primarily - of operational transaction processing systems and external secondary databases.
Transformation
Revoke
The degree of granularity
operational and external layer
6. An analytical-oriented organizational structure is a data warehouse _____________.
project readiness assessment factor
Association
Revoke
drill-across report
7. 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
Referential integrity
MAE (Mean Absolute Error) deviation
Association
8. 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
drill-across report
market basket analysis
volatile data
9. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
principle component analysis
volatile data
degrees of summarization
ALTER TABLE Part DELETE Warehouse;
10. 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
lift charts
volatile data
operational and external layer
11. The process by which numerical data is converted into graphical images is referred to as:
ERD Modeling
Breakeven analysis
data visualization
OLAP
12. Twice as likely to identify the important class (compared to avg. prevalence)
database administrator
numeric prediction
n
decile chart
13. Increased affordability of ____________ is a reason for the growth in popularity of data mining.
Count
changing/UPDATE-ing
knowledge data discovery
machine learning
14. Which statement will take away user privileges to the database?
composite semantic objects
Count
Revoke
Into
15. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
data mart
Cartesian
near-line secondary storage devices
numeric prediction
16. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
Insert
degrees of summarization
Document Analyzer
numeric prediction
17. An economic feasibility measure. So is Internal rate of return.
groves law
semantic object (SOL) attribute
Breakeven analysis
system catalog
18. This is not considered one of the four major categories of processing algorithms and rule approaches.
near-line secondary storage devices
The degree of granularity
principle component analysis
Top-down approach
19. Which statement removes the table Salesrep from a DBMS?
composite semantic objects
measuring predictive error
DROP TABLE Salesrep;
degrees of summarization
20. Which of the following is at the center of a star schema?
neural networks & Decision Trees
Fact or Measurement table
numeric prediction
lift charts
21. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
dimension
lift charts
Document Analyzer
market basket analysis
22. A _____________ is a system-generated primary key.
composite semantic objects
MAE (Mean Absolute Error) deviation
neural networks & Decision Trees
surrogate key
23. ___________________ 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
Regression analysis
PRIMARY KEY (CustomerNum)
Into
24. To create the primary key clause for the Customer table on the CustomerNum field - which of the following is the correct statement?
PRIMARY KEY (CustomerNum)
average error
ERD Modeling
the relationship
25. When an entity has a minimum cardinality of one it means the entity is required in _______.
average error
Breakeven analysis
Horizontal integration
the relationship
26. 'Signatures' are used for intrusion detection by _______?
Group By
recognizing known patterns
ERD Modeling
aggregate
27. Which function calculates the number of entries in a table?
Count
Breakeven analysis
Association
project readiness assessment factor
28. A synonym for data mining
knowledge data discovery
composite semantic objects
DROP TABLE Salesrep;
Referential integrity
29. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
neural networks & Decision Trees
composite semantic objects
volatile data
Insert
30. ___________ determines exactly what level of detail constitutes a fact record.
MAE (Mean Absolute Error) deviation
market basket analysis
data mart
The degree of granularity
31. The product of two tables is also called the ________ product.
Cartesian
groves law
near-line secondary storage devices
ALTER TABLE Part DELETE Warehouse;
32. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
n
average error
machine learning
aggregate
33. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
composite semantic objects
Association
UNION
knowledge data discovery
34. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
degrees of summarization
Horizontal integration
Transformation
MOLAP
35. ___________ is not a characteristic of a data warehouse.
Document Analyzer
volatile data
groves law
near-line secondary storage devices
36. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.
MOLAP
Regression analysis
semantic object (SOL) attribute
ERD Modeling
37. These are considered an alternate storage techniques for data warehousing include.
UNION
near-line secondary storage devices
project readiness assessment factor
volatile data
38. 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
Top-down approach
average error
Into
39. Which function should be used to calculate the total of all entries in a given column?
semantic object (SOL) attribute
data mining
Sum
recognizing known patterns
40. _________ 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.
Horizontal integration
cascading delete
PRIMARY KEY (CustomerNum)
semantic object
41. Information about tables in the database is kept in the _____.
Sum
machine learning
Document Analyzer
system catalog
42. The _____ operation of two tables results in a single table with the same columns as the first table - and containing all rows that are in the first table merged with all the rows in the second table - minus any duplicate rows.
system catalog
n
data mart
UNION
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
Revoke
association semantic object
maximum
44. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
decile chart
n
dimension
maximum
45. Gives us an idea of the magnitude of errors. Actual value - estimated value.
artificial Key
Group By
ALTER TABLE Part DELETE Warehouse;
MAE (Mean Absolute Error) deviation
46. 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) ____________.
artificial Key
knowledge data discovery
data mart
ALTER TABLE Part DELETE Warehouse;
47. To add a new row to a table - use the _____ command.
project readiness assessment factor
Horizontal integration
Group By
Insert
48. 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.
Insert
groves law
MOLAP
measuring predictive error
49. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
PRIMARY KEY (CustomerNum)
DROP TABLE Salesrep;
changing/UPDATE-ing
aggregate
50. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
market basket analysis
dimension
cascading delete
OLAP