PMI-RMP Leak Questions

The risk register is a dynamic document that must capture not only planned risk responses but also the actual outcomes of risks and the effectiveness of risk responses implemented. According to the PMBOK® Guide:

“The risk register should be updated with information on the results of risk responses, risk event outcomes, and actual effectiveness of the actions taken. This enables ongoing learning and continuous improvement in risk management.”

— PMBOK® Guide, 6th Edition, Section 11.7.3.2 (Project Document Updates: Risk Register)

This ensures that both the realized outcomes of risks and the success or failure of responses are tracked for future reference and lessons learned.

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 1. 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 2. 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 3. Therefore, the correct answer is D.

The risk manager should advise the project manager to hire additional developers as soon as project metrics indicate that the risk of delay is materializing. This approach ensures that the response is timely and directly tied to the project’s actual performance, allowing for better resource management and minimizing unnecessary costs. This aligns with PMI's risk management principles, which advocate for the timely execution of risk responses based on objective data and metrics​.

The project manager should mitigate risks identified on the sensitivity analysis to ensure the P90 date is met. Sensitivity analysis helps identify the most critical risks that have the potential to impact the project's completion date. By mitigating these risks, the project manager can increase the likelihood of meeting the P90 date.

 According to the PMI Risk Management Professional (PMI-RMP) Reference Materials, the P90 date is the date that has a 90% probability of being met or exceeded by the project completion1. The Monte Carlo analysis is a simul-ation technique that generates possible outcomes of the project schedule based on the probability distributions of the activity durations2. The sensitivity analysis is a technique that determines how different sources of uncertainty affect the project objectives, such as the completion date3. Therefore, the project manager should mitigate the risks identified on the sensitivity analysis, as they are the most likely to affect the P90 date. By reducing the uncertainty and variability of the project schedule, the project manager can increase the confidence level of meeting the P90 date.