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