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