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