PMI-RMP Specialized Risk Analyses Practice Question
When running a Monte Carlo simulation, you find that the results do not change between runs. What is the most likely cause?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The random seed is fixed.
If the results are identical, the simulation is likely using the same 'Random Seed'. Changing the seed ensures that each run uses a different sequence of random numbers.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The iteration count is too high.
Why it's wrong here
High iteration counts improve stability but do not make results identical.
- ✓
The random seed is fixed.
Why this is correct
A fixed seed reproduces the exact same 'random' values every time.
- ✗
The project file is corrupted.
Why it's wrong here
Corruption would cause errors, not identical results.
- ✗
All risks have a probability of 100%.
Why it's wrong here
Even with 100% probability, duration variability would cause change.
About these practice questions
This PMI-RMP question is part of Courseiva's 200-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official PMI exam blueprint
This PMI-RMP practice question is part of Courseiva's free PMI certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PMI-RMP exam.