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