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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. Which statement will take away user privileges to the database?
semantic object
drill-across report
numeric prediction
Revoke
2. This is not considered one of the four major categories of processing algorithms and rule approaches.
principle component analysis
maximum
system catalog
data mart
3. A ___________ combines result sets from more than one fact table.
surrogate key
drill-across report
Count
recognizing known patterns
4. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
project readiness assessment factor
Association
MAE (Mean Absolute Error) deviation
dimension
5. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
Revoke
volatile data
data mart
OLAP
6. 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
UNION
performance metrics - Numeric Prediction
PRIMARY KEY (CustomerNum)
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)
MOLAP
measuring predictive error
Fact or Measurement table
lift charts
8. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
Insert
principle component analysis
groves law
knowledge data discovery
9. 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
degrees of summarization
Breakeven analysis
Regression analysis
10. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
near-line secondary storage devices
system catalog
machine learning
Association
11. Are a data mining technology.
neural networks & Decision Trees
Regression analysis
the relationship
Sum
12. 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.
Breakeven analysis
UNION
ERD Modeling
Horizontal integration
13. A _____________ is a system-generated primary key.
decile chart
surrogate key
groves law
Sum
14. Which function calculates the number of entries in a table?
Document Analyzer
numeric prediction
Count
Revoke
15. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
transformation mapping
Count
MAE (Mean Absolute Error) deviation
maximum
16. Twice as likely to identify the important class (compared to avg. prevalence)
surrogate key
decile chart
Association
neural networks & Decision Trees
17. 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:
Insert
n
volatile data
market basket analysis
18. The product of two tables is also called the ________ product.
Fact or Measurement table
measuring predictive error
semantic object (SOL) attribute
Cartesian
19. 'Signatures' are used for intrusion detection by _______?
artificial Key
recognizing known patterns
DROP TABLE Salesrep;
Scope creep
20. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
Sum
Association
average error
artificial Key
21. Gives us an idea of the magnitude of errors. Actual value - estimated value.
drill-across report
association semantic object
MAE (Mean Absolute Error) deviation
maximum
22. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.
project readiness assessment factor
DROP TABLE Salesrep;
ERD Modeling
Scope creep
23. When an entity has a minimum cardinality of one it means the entity is required in _______.
the relationship
Breakeven analysis
groves law
numeric prediction
24. ___________ is not a characteristic of a data warehouse.
volatile data
DROP TABLE Salesrep;
artificial Key
Referential integrity
25. 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
maximum
n
system catalog
26. The SQL command for deleting the Warehouse field from the Part table is _____.
UNION
ALTER TABLE Part DELETE Warehouse;
dimension
machine learning
27. 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.
machine learning
ALTER TABLE Part DELETE Warehouse;
numeric prediction
MOLAP
28. The SQL built-in functions - which may appear on the same line as the SELECT statement (before the FROM clause) are called _____ functions.
PRIMARY KEY (CustomerNum)
aggregate
data mining
Revoke
29. Which clause would be used to create groups of records?
data mart
Breakeven analysis
Group By
Sum
30. These are considered an alternate storage techniques for data warehousing include.
system catalog
ALTER TABLE Part DELETE Warehouse;
measuring predictive error
near-line secondary storage devices
31. Which statement removes the table Salesrep from a DBMS?
surrogate key
composite semantic objects
DROP TABLE Salesrep;
The degree of granularity
32. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
MAE (Mean Absolute Error) deviation
database administrator
changing/UPDATE-ing
Fact or Measurement table
33. Which function should be used to calculate the total of all entries in a given column?
recognizing known patterns
neural networks & Decision Trees
Sum
Fact or Measurement table
34. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
UNION
system catalog
numeric prediction
n
35. A synonym for data mining
Top-down approach
knowledge data discovery
Into
surrogate key
36. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
data mining
principle component analysis
Cartesian
degrees of summarization
37. 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
surrogate key
lift charts
near-line secondary storage devices
project readiness assessment factor
38. Which of the following is at the center of a star schema?
Horizontal integration
Fact or Measurement table
Sum
data visualization
39. An ___________ relates two other objects.
degrees of summarization
association semantic object
Group By
artificial Key
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
lift charts
maximum
Regression analysis
semantic object
41. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
n
ALTER TABLE Part DELETE Warehouse;
composite semantic objects
data mining
42. 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) ____________.
semantic object
surrogate key
artificial Key
Count
43. You can save the results of a query as a table by including the _____ clause in the query.
machine learning
OLAP
association semantic object
Into
44. An analytical-oriented organizational structure is a data warehouse _____________.
project readiness assessment factor
Cartesian
Referential integrity
ALTER TABLE Part DELETE Warehouse;
45. A compound semantic object is an object that contains at least one ____.
data mining
MAE (Mean Absolute Error) deviation
maximum
semantic object (SOL) attribute
46. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
The degree of granularity
Sum
Document Analyzer
principle component analysis
47. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
dimension
decile chart
Scope creep
recognizing known patterns
48. To add a new row to a table - use the _____ command.
composite semantic objects
Fact or Measurement table
market basket analysis
Insert
49. 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
Group By
data mart
performance metrics - Numeric Prediction
dimension
50. ___________ determines exactly what level of detail constitutes a fact record.
Into
n
The degree of granularity
market basket analysis