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