Quantitative Risk Analysis in Information Security Management
Question
Quantitative risk analysis is MOST appropriate when assessment data:
Answers
Explanations
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A. B. C. D.B.
Percentage estimates are characteristic of quantitative risk analysis.
Customer perceptions, lack of specific details or subjective information lend themselves more to qualitative risk analysis.
Quantitative risk analysis involves the use of numeric values, probability, and statistical analysis to evaluate the likelihood and impact of risks. It is typically used to analyze specific, well-defined risks and is based on objective data that can be expressed numerically.
Out of the given options, B - containing percentage estimates - is the most appropriate data for quantitative risk analysis. Percentage estimates can be used to calculate the likelihood of a risk occurring, as well as the potential impact of that risk.
A - customer perceptions - may be useful in qualitative risk analysis, where the focus is on understanding the perceptions and opinions of stakeholders, rather than numerical data.
C - not containing specific details - would make it difficult to identify and evaluate risks in a quantitative manner.
D - containing subjective information - may be useful in qualitative risk analysis, but could be problematic in quantitative analysis, where objective data is required to make accurate calculations.
Therefore, option B - containing percentage estimates - is the most appropriate data for quantitative risk analysis.
