PMI-RMP Question #450: Real Exam Question with Answer & Explanation

Question

A project manager is developing the risk register and works with the team to analyze risks and determine their probability and impact. There is valuable historical data available that may be used to simulate the overall risk outcome. Which type of analysis should the project manager use in this instance?

Options

• ACheck list analysis
• BCause and effect
• CSpecialized meeting
• DQuantitative analysis

Explanation

In this instance, the project manager should use quantitative analysis to simulate the overall risk outcome. Quantitative analysis techniques, such as Monte Carlo simul-ation or decision tree analysis, can be used to model the combined effect of individual risks on project objectives. By leveraging historical data, the project manager can generate more accurate and reliable risk assessments, which can help inform risk response strategies and improve project decision- making. Quantitative analysis is a type of risk analysis that numerically analyzes the effect of identified risks on overall project objectives. It involves using historical data and other information to estimate the probability and impact of risks, and then applying mathematical techniques such as simul-ation, sensitivity analysis, decision tree analysis, or expected monetary value analysis to quantify the overall risk exposure of the project. Quantitative analysis can provide more accurate and objective results than qualitative analysis, which relies on subjective judgments and ratings. Quantitative analysis can also help the project manager prioritize risks, determine the optimal risk response strategy, and allocate contingency reserves.

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