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