Project Management Professional (PMP) Practice Exam

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Study for the Project Management Professional (PMP) exam. Study with flashcards and multiple choice questions. With over 500 questions. Practice the PMP practice multiple choice questions. Updated for 2023-2025. Get ready for your exam!

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During planning processes, you used Monte Carlo simulation to quantitatively assess cost and schedule risks of your project. During risk control, you repeat the technique, and it leads to different results. What should not be the reason for that?

Some assumptions during planning have meanwhile become fact-based knowledge, so that the risks related to them have vanished or have become certain problems.
New risks may have been identified. These influence the input data used for Monte Carlo simulation in a way which was not predictable at the time when the simulation was run.
Some constraints have been identified originally, but their influence on the project was unclear when the simulation was run for the first time. By now, the team understands these constraints much better and has been able to adjust the simulation.
Some dummy activities in the network logic have an element of uncertainty, which gets bigger over time. While the project proceeds, it gets even harder to predict how the team members assigned to them will perform.

The correct answer is: Some dummy activities in the network logic have an element of uncertainty, which gets bigger over time. While the project proceeds, it gets even harder to predict how the team members assigned to them will perform.

During the planning process, the results of the Monte Carlo simulation were based on the best available information and estimates at that time. However, as the project progresses and more information is gathered, events such as delays, changes in resources, or unforeseen challenges may arise that can impact the uncertainty of these dummy activities. This in turn affects the accuracy of the Monte Carlo simulation results during risk control, leading to different outcomes. Therefore, option D is not a valid reason for variation in the results of Monte Carlo simulation between planning and risk control. Options A, B, and C are all possible reasons for changes in risk assessment results due to updated information and evolving project circumstances.