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