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Exam (elaborations)

C BZ400 Lesson 4 & 5 Exam | Ashworth College

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C BZ400 Lesson 4 & 5 Exam | Ashworth College

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Ashworth College
Course
C BZ400










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Uploaded on
November 3, 2025
Number of pages
16
Written in
2025/2026
Type
Exam (elaborations)
Contains
Questions & answers

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Lesson 4 & 5 Exam

Question 1 2..5 points

Data type helps a database management system (DBMS) to:

Question options:


a) present the data in a useful format.


b) format data.


c) allocate storage space.


d) eliminate data duplication.

Question 2 .5 points

An advantage when the database approach makes it easier to deploy and control data access is:

Question options:


a) improved data accessibility.


b) improved data consistency.


c) improved data quality.


d) increased security.

Question 3 2..5 points

Which of the following is used for Web content mining?

Question options:

a) Clustering

, b) Web underlining


c) Neural networks


d) Web crawler

Question 4 2..5 points

A is a data warehouse that is limited in scope.

Question options:


a) metadata repository


b) compound data


c) data model


d) data mart

Question 5 2..5 points

Systems that are used to interact with customers and run a business in real-time are called
systems.

Question options:


a) tactical


b) strategic


c) operational


d) informational

Question 6 2..5 points

When we consider entities as tables, each column is a(n):

, Question options:

a) attribute.


b) record.


c) form.


d) applet.

Question 7 2..5 points

Online analytical processing tools enable users to:

Question options:


a) discover hidden predictive relationships in the data.


b) find associations or correlations among sets of items.


c) analyze different dimensions of data beyond simple data summaries.


d) group related records together based on having similar values for attributes.

Question 8 2..5 points

can be achieved by rolling up a data cube to the smallest level of aggregation
needed, reducing the dimensionality, or dividing continuous measures into discrete intervals.

Question options:


a) Data cleansing


b) Normalization


c) Clustering

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