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