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