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