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