Mist 2090 part a final Study guides, Class notes & Summaries
Looking for the best study guides, study notes and summaries about Mist 2090 part a final? On this page you'll find 34 study documents about Mist 2090 part a final.
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MIST 2090 Final Exam Part A Complete Questions and Answers!!
- Exam (elaborations) • 6 pages • 2024
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ALC Triad - ANSWER -Heart of Information Security 
-Three concepts commonly applied to all information systems 
 
Availability - ANSWER -The ability for authorized parties to access data and systems when necessary 
 
-Threats: 
Natural disasters or power grid failures 
distributed denial of service attacks 
hardware failures or service upgrades 
 
-Safety measures: 
Load balancing 
Disk shadowing 
 
Integrity - ANSWER -Maintaining and assuring the accuracy and reliability of the information an...
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MIST 2090 Final Exam Part A Complete Questions & Answers!!
- Exam (elaborations) • 6 pages • 2024
-
Available in package deal
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- $11.99
- + learn more
ALC Triad - ANSWER -Heart of Information Security 
-Three concepts commonly applied to all information systems 
 
Availability - ANSWER -The ability for authorized
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MIST 2090 Quiz 2 questions and answers 2023
- Exam (elaborations) • 7 pages • 2023
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MIST 2090 Quiz 2 questions and answers 20234 
-step process that makes up "analytics" 
1. Asking meaningful questions 
2. Acquiring relevant data 
3. Analyzing the data quantitatively 
4. Presenting the result 
 
 
 
3 major categories of skills required for data science 
1. Hacking Skills 
2. Math & Statistics knowledge 
3. Substative Expertise 
 
 
 
Social Network Theory (generally) 
the study of how people organizations or groups interact with others inside their network 
 
 
 
1st vs 2nd ...
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UGA MIST 2090 Final Exam Questions with 100% Correct Answers | Graded A+
- Exam (elaborations) • 35 pages • 2024
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UGA MIST 2090 Final Exam Questions 
with 100% Correct Answers | Graded A+ 
4-step process that makes up "analytics" - 1. Asking 
meaningful questions 
2. Acquiring relevant data 
3. Analyzing the data quantitatively 
4. Presenting the results 
3 major categories of skills required for data science - 1. 
Hacking skills 
2. Math and statistics knowledge 
3. substantive expertise 
social network theory - the mapping and measuring of 
relationships and flows between people, organizations, systems,...
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