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