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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. 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
PRIMARY KEY (CustomerNum)
market basket analysis
OLAP
performance metrics - Numeric Prediction
2. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
changing/UPDATE-ing
Fact or Measurement table
Horizontal integration
neural networks & Decision Trees
3. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
average error
transformation mapping
operational and external layer
database administrator
4. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
numeric prediction
UNION
Horizontal integration
Referential integrity
5. A _____________ is a system-generated primary key.
near-line secondary storage devices
project readiness assessment factor
degrees of summarization
surrogate key
6. Twice as likely to identify the important class (compared to avg. prevalence)
groves law
volatile data
decile chart
Revoke
7. An analytical-oriented organizational structure is a data warehouse _____________.
project readiness assessment factor
MOLAP
Document Analyzer
lift charts
8. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
ERD Modeling
Document Analyzer
DROP TABLE Salesrep;
ALTER TABLE Part DELETE Warehouse;
9. Which statement removes the table Salesrep from a DBMS?
system catalog
PRIMARY KEY (CustomerNum)
DROP TABLE Salesrep;
surrogate key
10. 'Signatures' are used for intrusion detection by _______?
drill-across report
recognizing known patterns
data mart
Cartesian
11. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
database administrator
dimension
Group By
machine learning
12. An ___________ relates two other objects.
DROP TABLE Salesrep;
database administrator
MOLAP
association semantic object
13. 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)
recognizing known patterns
The degree of granularity
Group By
14. The process by which numerical data is converted into graphical images is referred to as:
Group By
data visualization
semantic object (SOL) attribute
recognizing known patterns
15. Are a data mining technology.
ERD Modeling
neural networks & Decision Trees
data mart
numeric prediction
16. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.
ERD Modeling
MAE (Mean Absolute Error) deviation
database administrator
DROP TABLE Salesrep;
17. These are considered an alternate storage techniques for data warehousing include.
Insert
near-line secondary storage devices
system catalog
drill-across report
18. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
semantic object (SOL) attribute
decile chart
ALTER TABLE Part DELETE Warehouse;
Top-down approach
19. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
data visualization
artificial Key
groves law
drill-across report
20. 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
neural networks & Decision Trees
the relationship
transformation mapping
21. 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) ____________.
data mining
artificial Key
database administrator
neural networks & Decision Trees
22. The SQL command for deleting the Warehouse field from the Part table is _____.
ALTER TABLE Part DELETE Warehouse;
drill-across report
UNION
PRIMARY KEY (CustomerNum)
23. Which clause would be used to create groups of records?
data mining
Count
Group By
groves law
24. A synonym for data mining
ERD Modeling
MOLAP
numeric prediction
knowledge data discovery
25. Which statement will take away user privileges to the database?
Cartesian
average error
Revoke
recognizing known patterns
26. To add a new row to a table - use the _____ command.
Insert
artificial Key
near-line secondary storage devices
neural networks & Decision Trees
27. The SQL built-in functions - which may appear on the same line as the SELECT statement (before the FROM clause) are called _____ functions.
numeric prediction
aggregate
market basket analysis
OLAP
28. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
Into
transformation mapping
PRIMARY KEY (CustomerNum)
semantic object
29. 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
performance metrics - Numeric Prediction
Fact or Measurement table
Top-down approach
lift charts
30. A compound semantic object is an object that contains at least one ____.
association semantic object
OLAP
semantic object (SOL) attribute
recognizing known patterns
31. A ___________ combines result sets from more than one fact table.
data visualization
performance metrics - Numeric Prediction
drill-across report
The degree of granularity
32. ___________ is not a characteristic of a data warehouse.
Insert
volatile data
PRIMARY KEY (CustomerNum)
The degree of granularity
33. _________ 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
principle component analysis
performance metrics - Numeric Prediction
Horizontal integration
34. 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.
system catalog
neural networks & Decision Trees
operational and external layer
OLAP
35. 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.
data visualization
project readiness assessment factor
MOLAP
n
36. Information about tables in the database is kept in the _____.
system catalog
decile chart
drill-across report
semantic object
37. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
association semantic object
n
Top-down approach
Sum
38. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
the relationship
Horizontal integration
maximum
data mining
39. An economic feasibility measure. So is Internal rate of return.
Fact or Measurement table
Breakeven analysis
recognizing known patterns
data mart
40. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
PRIMARY KEY (CustomerNum)
maximum
Scope creep
artificial Key
41. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
data mining
Group By
Scope creep
decile chart
42. The deletion of a record that also deletes related records is referred to as a(n) _____.
knowledge data discovery
recognizing known patterns
groves law
cascading delete
43. When an entity has a minimum cardinality of one it means the entity is required in _______.
market basket analysis
Revoke
The degree of granularity
the relationship
44. Which of the following is at the center of a star schema?
near-line secondary storage devices
artificial Key
Fact or Measurement table
The degree of granularity
45. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
composite semantic objects
n
ALTER TABLE Part DELETE Warehouse;
PRIMARY KEY (CustomerNum)
46. This is not considered one of the four major categories of processing algorithms and rule approaches.
knowledge data discovery
principle component analysis
data mart
n
47. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
measuring predictive error
Transformation
groves law
Scope creep
48. 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)
UNION
artificial Key
Sum
measuring predictive error
49. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
MAE (Mean Absolute Error) deviation
Association
The degree of granularity
numeric prediction
50. 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
MOLAP
operational and external layer
association semantic object