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PMI-RMP · Question #644

The risk manager loaded the risk register, built the risks into the simul-ation software, and ran the Monte Carlo analysis. The P80 and P90 end dates are the same as the deterministic date. What shoul

The correct answer is A. Check the schedule for constraints. When Monte Carlo P80 and P90 dates equal the deterministic date, this signals the simulation is artificially constrained and not modeling realistic variability, requiring a review of schedule constraints.

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Question

The risk manager loaded the risk register, built the risks into the simul-ation software, and ran the Monte Carlo analysis. The P80 and P90 end dates are the same as the deterministic date. What should be the risk manager's next step?

Options

  • ACheck the schedule for constraints
  • BUse the P90 date on the risk report
  • CDecrease the number of iterations
  • DDecrease the risk consequences

How the community answered

(28 responses)
  • A
    71% (20)
  • B
    7% (2)
  • C
    14% (4)
  • D
    7% (2)

Why each option

When Monte Carlo P80 and P90 dates equal the deterministic date, this signals the simulation is artificially constrained and not modeling realistic variability, requiring a review of schedule constraints.

ACheck the schedule for constraintsCorrect

Hard constraints in the schedule - such as fixed dates or mandatory finish constraints - artificially cap the latest possible end dates during Monte Carlo simulation, preventing the model from generating results beyond the constrained date. This causes the probability distribution to collapse at the upper tail, making P80 and P90 converge with the deterministic date, which is a clear indicator that constraints must be reviewed and adjusted for the simulation to produce valid results.

BUse the P90 date on the risk report

Using the P90 date on the report is inappropriate when simulation results are suspect due to constraint artifacts; reporting unreliable data would mislead stakeholders.

CDecrease the number of iterations

Decreasing the number of iterations reduces statistical accuracy and does not resolve the structural problem causing the distribution to collapse at the deterministic date.

DDecrease the risk consequences

Decreasing risk consequences modifies the inputs rather than diagnosing the root cause of the simulation producing invalid output.

Concept tested: Monte Carlo simulation schedule constraint diagnosis

Source: https://www.pmi.org/pmbok-guide-standards/practice-guides/scheduling

Topics

#Monte Carlo Analysis#Schedule Risk Analysis#Schedule Constraints#Simulation Output Interpretation

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