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