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