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