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