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CS302 FINAL EXAM QUESTIONS AND ANSWERS (NEW)

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CS302
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Uploaded on
February 21, 2025
Number of pages
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Written in
2024/2025
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CS302 FINAL EXAM QUESTIONS
AND ANSWERS (NEW)


Data Aggression : - ANSWER any process in which information is gathered
and expressed in a summary form, for purposes such as statistical analysis

What is the process of Data Aggression? - ANSWER type of data and
information mining process where data is searched,gathered, and presented in a
summarized format to achieve specific business objectives/human analysis

How is Data Aggression performed? - ANSWER manually or through special
software

What us Data Aggression a component of? - ANSWER business intelligence
solutions

What does Data Aggression generally work on? - ANSWER big data or data
marts

Comprising: - ANSWER cleansing, normalizing, transforming, validating,
extracted

Data Cleansing: - ANSWER the process of detecting and removing corrupt or
inaccurate records from a record set, table, or database

Parsing: - ANSWER the process of analyzing a string of symbols (either in
natural or computer language)

Data normalization: - ANSWER the process of reducing data to it canonical
form
(ex: organizing the tables of a relational database to minimize redundancy and
dependency)

, Data mining: - ANSWER the application of database technology and
techniques to uncover hidden patterns and subtle relationships in data and allow
for prediction of future results.

Data anonyminzation: - ANSWER the process of wither encrypting or
removing personally identifiable information from data sets so that people
whom the data describe remain anonymous

Personally identifiable information: - ANSWER information that can be used
on its own or with other information to identify, contact, or locate a single
person, or to identify an individual in context.

Cloud based: - ANSWER Computing in which large groups of remote servers
are networked to allow the centralized data storage and online access to
computer services

The Four Common Elements for Big Data: - ANSWER 1) Identity
2) Privacy
3) Ownership
4) Reputation

3 V's of Big Data: - ANSWER -Volume
-Variety
-Velocity

Metadata: - ANSWER data about data

Responsible organization: - ANSWER an organization that is concerned both
with handling data in a way that aligns with its values and with being perceived
by others to handle data in such a manner .

Benefits of Ethical Inquiry: (4) - ANSWER -faster consumer adoption by
reducing fear of the unknown
-reduction of friction from legislation from a more thorough understanding of
contains and requirements
-increased pace of innovation and collaboration derived from a sense of purpose
generated by explicitly shared values

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