Which of the following describes the main difference between supervised and unsupervised machine-learning algorithms that are used in cybersecurity applications?

A. Supervised algorithms can be used to block attacks, while unsupervised algorithms cannot.

B. Supervised algorithms require security analyst feedback, while unsupervised algorithms do not.

C. Unsupervised algorithms are not suitable for IDS systems, while supervised algorithms are.

D. Unsupervised algorithms produce more false positives than supervised algorithms.








 

Suggested Answer: D

Community Answer: B



This question is in CS0-002 CompTIA Cybersecurity Analyst (CySA+) Exam
For getting CompTIA Cybersecurity Analyst (CySA+) Certificate


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