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Explanation:
In the FAIR (Factor Analysis of Information Risk) model, Monte Carlo simulations are employed to compute the aggregate risk by taking the estimated distributions of Loss Event Frequency (LEF) and Probable Loss Magnitude (PLM) as inputs. The primary purpose of running Monte Carlo simulations is to produce a distribution of simulated scenario losses as an output, giving decision-makers a probabilistic view of potential aggregate losses over a given timeframe.
Choice A is incorrect because estimating the frequency and magnitude of a loss event is a process of expert elicitation or data analysis used to define the inputs for the simulation, rather than the purpose of the simulation itself. Choice B is incorrect as scenario generation (defining asset, threat community, threat type, and effect) is part of the scoping phase of FAIR, which happens before running any simulations. Choice D is incorrect because Monte Carlo simulations do not automatically determine the best course of action; they only provide the risk measurement (loss distribution) which management then uses to make informed risk mitigation decisions.
Q.5160 What is the purpose of Monte Carlo simulations in the FAIR model of managing operational risk?
A
To estimate the frequency and magnitude of a potential loss event.
B
To generate scenarios with an asset at risk, a threat community, a threat type and an effect.
C
To provide the distribution of simulated scenario losses as output.
D
To determine the best course of action to prevent a potential loss event.
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