SUBJECTS
|
BROWSE
|
CAREER CENTER
|
POPULAR
|
JOIN
|
LOGIN
Business Skills
|
Soft Skills
|
Basic Literacy
|
Certifications
About
|
Help
|
Privacy
|
Terms
|
Email
Search
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 clause would be used to create groups of records?
Sum
system catalog
Group By
numeric prediction
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.
The degree of granularity
OLAP
changing/UPDATE-ing
Cartesian
3. 'Signatures' are used for intrusion detection by _______?
changing/UPDATE-ing
Sum
recognizing known patterns
Referential integrity
4. An analytical-oriented organizational structure is a data warehouse _____________.
Horizontal integration
changing/UPDATE-ing
operational and external layer
project readiness assessment factor
5. Which of the following database design and data warehouse design approaches is viewed to take a more strategic rather than operational perspective?
degrees of summarization
Horizontal integration
semantic object
Top-down approach
6. The minimum cardinality and m is the maximum cardinality Cardinalities in Semantic Objects are shown as subscripts in the format n-m where _____
artificial Key
database administrator
recognizing known patterns
n
7. Which rule would you be violating - if you tried to delete a sales rep record - who currently has customers on file?
transformation mapping
database administrator
Referential integrity
The degree of granularity
8. The process by which numerical data is converted into graphical images is referred to as:
data visualization
transformation mapping
MAE (Mean Absolute Error) deviation
Scope creep
9. The SQL command for deleting the Warehouse field from the Part table is _____.
system catalog
ALTER TABLE Part DELETE Warehouse;
volatile data
Fact or Measurement table
10. 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
changing/UPDATE-ing
lift charts
composite semantic objects
semantic object
11. The set of activities used to find new - hidden - or unexpected patterns in data is referred to as _____.
Into
data mining
PRIMARY KEY (CustomerNum)
semantic object
12. ___________ determines exactly what level of detail constitutes a fact record.
near-line secondary storage devices
The degree of granularity
knowledge data discovery
data mining
13. 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:
maximum
market basket analysis
data mining
Revoke
14. The _______________________ represents the source data for the DW. This layer is comprised - primarily - of operational transaction processing systems and external secondary databases.
Regression analysis
aggregate
operational and external layer
principle component analysis
15. 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 mining
measuring predictive error
composite semantic objects
Horizontal integration
16. Which statement removes the table Salesrep from a DBMS?
DROP TABLE Salesrep;
recognizing known patterns
cascading delete
project readiness assessment factor
17. The product of two tables is also called the ________ product.
Horizontal integration
Breakeven analysis
knowledge data discovery
Cartesian
18. The term "ETL" in data warehousing stands for: Extraction - ________________________ - & Loading.
The degree of granularity
Transformation
operational and external layer
knowledge data discovery
19. Which function should be used to calculate the total of all entries in a given column?
data mining
artificial Key
Sum
Breakeven analysis
20. 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)
association semantic object
data mining
maximum
21. You can save the results of a query as a table by including the _____ clause in the query.
MAE (Mean Absolute Error) deviation
the relationship
dimension
Into
22. A ___________ combines result sets from more than one fact table.
drill-across report
semantic object
Group By
Count
23. Are a data mining technology.
system catalog
DROP TABLE Salesrep;
neural networks & Decision Trees
lift charts
24. Semantic object link (SOL) attributes establish a relationship between one _______ and another.
cascading delete
semantic object
Into
neural networks & Decision Trees
25. Which function calculates the number of entries in a table?
semantic object
volatile data
Count
composite semantic objects
26. In general - ______________ are transformed to relations/tables by defining one relation for the object itself and another relation for each multivalued attribute.
knowledge data discovery
composite semantic objects
groves law
neural networks & Decision Trees
27. Twice as likely to identify the important class (compared to avg. prevalence)
composite semantic objects
decile chart
performance metrics - Numeric Prediction
database administrator
28. 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.
Insert
n
MOLAP
Top-down approach
29. An alternative to the data warehouse concept is a lower-cost - scaled-down version referred to as the _____________.
data visualization
data mart
knowledge data discovery
market basket analysis
30. A compound semantic object is an object that contains at least one ____.
Association
the relationship
data visualization
semantic object (SOL) attribute
31. To add a new row to a table - use the _____ command.
MOLAP
OLAP
ALTER TABLE Part DELETE Warehouse;
Insert
32. Gives an idea of systematic over- or under-prediction. Magnitude of average absolute error.
maximum
average error
numeric prediction
transformation mapping
33. The ACCESS feature that tests to see if your tables are normalized properly is the ____.
Document Analyzer
composite semantic objects
database administrator
Revoke
34. 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
PRIMARY KEY (CustomerNum)
data mining
semantic object
35. 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
UNION
volatile data
measuring predictive error
36. ____________ would not normally be associated with ROUTINE data warehouse maintenance.
aggregate
data mart
changing/UPDATE-ing
neural networks & Decision Trees
37. Which data mining technique utilizes linkage analysis to search operational transactions for patterns with a high probability of repetition?
transformation mapping
Top-down approach
data mining
Association
38. A synonym for data mining
changing/UPDATE-ing
project readiness assessment factor
measuring predictive error
knowledge data discovery
39. A _____________ is a system-generated primary key.
surrogate key
data mining
data mart
lift charts
40. ___________________ 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
Regression analysis
n
database administrator
ALTER TABLE Part DELETE Warehouse;
41. 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
Association
degrees of summarization
performance metrics - Numeric Prediction
machine learning
42. Models that do ___________: MLR; KNN; Regression and Classification Trees; ANN; SVM
numeric prediction
semantic object (SOL) attribute
decile chart
Association
43. Information about tables in the database is kept in the _____.
lift charts
Referential integrity
system catalog
measuring predictive error
44. __________ occurs when the initial scope of a project continues to expand as new features are incorporated into the project.
Scope creep
dimension
aggregate
composite semantic objects
45. A Star diagram has two types of tables (objects). They are called the___________________ tables and ; fact tables.
dimension
Group By
principle component analysis
Document Analyzer
46. These are considered an alternate storage techniques for data warehousing include.
average error
dimension
near-line secondary storage devices
semantic object
47. Which of the following is at the center of a star schema?
Breakeven analysis
Transformation
Fact or Measurement table
Association
48. The deletion of a record that also deletes related records is referred to as a(n) _____.
The degree of granularity
principle component analysis
neural networks & Decision Trees
cascading delete
49. A powerful trend in IT is known as - which maintains that Computer transmission speed doubles every 18 months.
market basket analysis
Association
groves law
average error
50. _________ 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.
The degree of granularity
ERD Modeling
Horizontal integration
semantic object
Sorry!:) No result found.
Can you answer 50 questions in 15 minutes?
Let me suggest you:
Browse all subjects
Browse all tests
Most popular tests
Major Subjects
Tests & Exams
AP
CLEP
DSST
GRE
SAT
GMAT
Certifications
CISSP go to https://www.isc2.org/
PMP
ITIL
RHCE
MCTS
More...
IT Skills
Android Programming
Data Modeling
Objective C Programming
Basic Python Programming
Adobe Illustrator
More...
Business Skills
Advertising Techniques
Business Accounting Basics
Business Strategy
Human Resource Management
Marketing Basics
More...
Soft Skills
Body Language
People Skills
Public Speaking
Persuasion
Job Hunting And Resumes
More...
Vocabulary
GRE Vocab
SAT Vocab
TOEFL Essential Vocab
Basic English Words For All
Global Words You Should Know
Business English
More...
Languages
AP German Vocab
AP Latin Vocab
SAT Subject Test: French
Italian Survival
Norwegian Survival
More...
Engineering
Audio Engineering
Computer Science Engineering
Aerospace Engineering
Chemical Engineering
Structural Engineering
More...
Health Sciences
Basic Nursing Skills
Health Science Language Fundamentals
Veterinary Technology Medical Language
Cardiology
Clinical Surgery
More...
English
Grammar Fundamentals
Literary And Rhetorical Vocab
Elements Of Style Vocab
Introduction To English Major
Complete Advanced Sentences
Literature
Homonyms
More...
Math
Algebra Formulas
Basic Arithmetic: Measurements
Metric Conversions
Geometric Properties
Important Math Facts
Number Sense Vocab
Business Math
More...
Other Major Subjects
Science
Economics
History
Law
Performing-arts
Cooking
Logic & Reasoning
Trivia
Browse all subjects
Browse all tests
Most popular tests