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