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