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