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