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