"In deterministic models, the output of the model is fully determined by the parameter values and the initial values, whereas probabilistic (or stochastic) models incorporate randomness in their approach. Consequently, the same set of parameter values and initial conditions will lead to a group of different outputs. "
https://www.preventionweb.net/disaster-risk/concepts/deterministic-probabilistic/
So A seems to be correct
"A" is correct.
Deterministic: Cause --> Effect.
Probabilistic: behavior
In deterministic analysis, all data used for the analysis is known beforehand. Probabilistic analysis, on the other hand, is done assuming the likelihood that something will or has happened, but you don’t know exactly when or how.
Probabilistic methods institute powerful tools for use in many kinds of decision-making problems—in this case, cybersecurity event analysis. In this type of analysis, the analysis components suggest a “probabilistic answer” to the results of the investigation, which is not a definitive result.
Cisco CyberOps Associate CBROPS 200-201 Official Cert Guide
By Omar Santos
C is correct.
What is a characteristic of a probabilistic analysis in an alert evaluation?
random variables that create difficulty in knowing the outcome of any given event with certainty.
Explanation: Statistical techniques can be used to evaluate the risk that exploits will be successful in a given network. This type of analysis can help decision makers to better evaluate the cost of mitigating a threat and the damage that an exploit could cause. Two general approaches used to do this are as follows:
Deterministic Analysis: For an exploit to be successful, all prior steps in the exploit must also be successful. The cybersecurity analyst knows the steps for a successful exploit.
Probabilistic Analysis: Statistical techniques are used to determine the probability that a successful exploit will occur based on the likelihood that each step in the exploit will succeed.
C is the correct,
What is a characteristic of a probabilistic analysis in an alert evaluation?
each event an inevitable result of antecedent causes
precise methods that yield the same result every time by relying on predefined conditions
random variables that create difficulty in knowing the outcome of any given event with certainty analysis of applications that conform to application/networking standards
Explanation: Statistical techniques can be used to evaluate the risk that exploits will be successful in a given network. This type of analysis can help decision makers to better evaluate the cost of mitigating a threat and the damage that an exploit could cause. Two general approaches used to do this are as follows:
Deterministic Analysis: For an exploit to be successful, all prior steps in the exploit must also be successful. The cybersecurity analyst knows the steps for a successful exploit.
Probabilistic Analysis: Statistical techniques are used to determine the probability that a successful exploit will occur based on the likelihood that each step in the exploit will succeed.
Deterministic analysis involves using mathematical equations to determine a specific outcome based on fixed inputs. In a cybersecurity context, this might involve using a formula to calculate the potential loss from a specific type of attack based on known variables such as the value of the data that could be stolen or the cost of system downtime.
In contrast, probabilistic analysis involves assigning probabilities to potential outcomes based on known variables. This might involve assessing the likelihood of a specific type of attack succeeding and calculating the expected value of the potential loss.
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