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