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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. On an ER Diagram the number (mark) on relationship line that is farthest away from each entity (rectangle) represents the _______ cardinality.
maximum
near-line secondary storage devices
average error
semantic object (SOL) attribute
2. 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
neural networks & Decision Trees
Top-down approach
MOLAP
performance metrics - Numeric Prediction
3. These are considered an alternate storage techniques for data warehousing include.
near-line secondary storage devices
association semantic object
dimension
decile chart
4. Which of the following is at the center of a star schema?
Fact or Measurement table
Regression analysis
project readiness assessment factor
Revoke
5. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
data mining
market basket analysis
Revoke
The degree of granularity
6. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
Horizontal integration
ERD Modeling
Referential integrity
knowledge data discovery
7. 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
Group By
near-line secondary storage devices
performance metrics - Numeric Prediction
8. ___________ determines exactly what level of detail constitutes a fact record.
data mining
transformation mapping
The degree of granularity
groves law
9. An analytical-oriented organizational structure is a data warehouse _____________.
project readiness assessment factor
performance metrics - Numeric Prediction
ALTER TABLE Part DELETE Warehouse;
changing/UPDATE-ing
10. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
The degree of granularity
neural networks & Decision Trees
Cartesian
Transformation
11. To add a new row to a table - use the _____ command.
recognizing known patterns
Scope creep
Association
Insert
12. You can save the results of a query as a table by including the _____ clause in the query.
Into
the relationship
project readiness assessment factor
OLAP
13. ___________ is not a characteristic of a data warehouse.
decile chart
volatile data
data mining
ALTER TABLE Part DELETE Warehouse;
14. 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.
near-line secondary storage devices
average error
Insert
MOLAP
15. ___________________ 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
Revoke
Regression analysis
Top-down approach
n
16. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
maximum
database administrator
PRIMARY KEY (CustomerNum)
n
17. 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:
Association
numeric prediction
aggregate
market basket analysis
18. Generally Semantic Object Modeling (SOM) is consideredmore bottom-up oriented than _____________.
project readiness assessment factor
data mining
database administrator
ERD Modeling
19. 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.
Horizontal integration
machine learning
OLAP
semantic object
20. Why are Star Schemas so useful in Financial Planning and Accounting Information Systems?
degrees of summarization
Fact or Measurement table
n
surrogate key
21. 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
semantic object (SOL) attribute
market basket analysis
lift charts
Into
22. An ___________ relates two other objects.
market basket analysis
n
association semantic object
data mining
23. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
dimension
Scope creep
Count
knowledge data discovery
24. Are a data mining technology.
ERD Modeling
data visualization
neural networks & Decision Trees
numeric prediction
25. The product of two tables is also called the ________ product.
Revoke
Cartesian
data mart
performance metrics - Numeric Prediction
26. Twice as likely to identify the important class (compared to avg. prevalence)
decile chart
performance metrics - Numeric Prediction
composite semantic objects
database administrator
27. The process by which numerical data is converted into graphical images is referred to as:
dimension
drill-across report
data visualization
n
28. Which statement will take away user privileges to the database?
Revoke
maximum
market basket analysis
Sum
29. 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)
Cartesian
Scope creep
transformation mapping
30. A compound semantic object is an object that contains at least one ____.
semantic object (SOL) attribute
Transformation
volatile data
dimension
31. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
Breakeven analysis
semantic object
Document Analyzer
average error
32. Information about tables in the database is kept in the _____.
MAE (Mean Absolute Error) deviation
recognizing known patterns
system catalog
Revoke
33. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
PRIMARY KEY (CustomerNum)
average error
changing/UPDATE-ing
Association
34. This is not considered one of the four major categories of processing algorithms and rule approaches.
principle component analysis
maximum
measuring predictive error
Scope creep
35. An economic feasibility measure. So is Internal rate of return.
recognizing known patterns
Breakeven analysis
surrogate key
principle component analysis
36. A _____________ is a system-generated primary key.
aggregate
UNION
surrogate key
neural networks & Decision Trees
37. A synonym for data mining
knowledge data discovery
drill-across report
Document Analyzer
principle component analysis
38. 'Signatures' are used for intrusion detection by _______?
semantic object
recognizing known patterns
UNION
operational and external layer
39. Which statement removes the table Salesrep from a DBMS?
ALTER TABLE Part DELETE Warehouse;
performance metrics - Numeric Prediction
DROP TABLE Salesrep;
volatile data
40. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
degrees of summarization
Group By
aggregate
Top-down approach
41. Within most organizations - the person known as the _____ determines the type of access various users can have to the corporate or enterprise database.
MAE (Mean Absolute Error) deviation
UNION
database administrator
Horizontal integration
42. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
project readiness assessment factor
Transformation
composite semantic objects
Sum
43. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
numeric prediction
market basket analysis
Regression analysis
association semantic object
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) ____________.
Regression analysis
data mining
average error
artificial Key
45. 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
ALTER TABLE Part DELETE Warehouse;
artificial Key
transformation mapping
46. _________ 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.
PRIMARY KEY (CustomerNum)
Horizontal integration
volatile data
Transformation
47. When an entity has a minimum cardinality of one it means the entity is required in _______.
the relationship
machine learning
Breakeven analysis
association semantic object
48. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
data mart
n
cascading delete
neural networks & Decision Trees
49. The SQL command for deleting the Warehouse field from the Part table is _____.
PRIMARY KEY (CustomerNum)
ALTER TABLE Part DELETE Warehouse;
OLAP
semantic object (SOL) attribute
50. Which function should be used to calculate the total of all entries in a given column?
Sum
OLAP
UNION
principle component analysis