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(ISC)2

CAP · Question #333

You are the project manager of the CUL project in your organization. You and the project team are assessing the risk events and creating a probability and impact matrix for the identified risks. Which

The correct answer is B. A qualitative risk analysis requires accurate and unbiased data if it is to be credible.. Qualitative risk analysis prioritizes risks based on their probability of occurrence and potential impact. For this analysis to be valid and credible, the underlying data must be accurate and unbiased. Biased or inaccurate data leads to misleading risk prioritization, which can c

Security and Privacy Governance, Risk Management, and Compliance Program

Question

You are the project manager of the CUL project in your organization. You and the project team are assessing the risk events and creating a probability and impact matrix for the identified risks. Which one of the following statements best describes the requirements for the data type used in qualitative risk analysis?

Options

  • AA qualitative risk analysis requires fast and simple data to complete the analysis.
  • BA qualitative risk analysis requires accurate and unbiased data if it is to be credible.
  • CA qualitative risk analysis required unbiased stakeholders with biased risk tolerances.
  • DA qualitative risk analysis encourages biased data to reveal risk tolerances.

How the community answered

(31 responses)
  • B
    90% (28)
  • C
    3% (1)
  • D
    6% (2)

Explanation

Qualitative risk analysis prioritizes risks based on their probability of occurrence and potential impact. For this analysis to be valid and credible, the underlying data must be accurate and unbiased. Biased or inaccurate data leads to misleading risk prioritization, which can cause the project team to focus on the wrong risks or allocate resources inappropriately. Option A is partially true in that qualitative analysis is faster than quantitative, but 'fast and simple' does not describe a data requirement. Options C and D are incorrect because bias in the data undermines the entire analysis.

Topics

#Risk Management#Qualitative Risk Analysis#Data Quality

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