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