PMI-RMP Specialized Risk Analyses — Timed 10 Questions

Question 1

When utilizing a tornado diagram in Oracle Primavera Risk Analysis to conduct sensitivity analysis, which metric indicates the highest impact on the project finish date?

Accepted Answer

The activity with the largest positive correlation coefficient.. In a tornado diagram generated by Primavera Risk Analysis, the bars represent the sensitivity of the project finish date to each activity's duration uncertainty. The activity with the largest positive correlation coefficient has the strongest positive relationship with the project finish date, meaning its duration variability most significantly impacts the project completion. Thus, it appears at the top of the tornado diagram as the highest-impact driver.

Answer

The activity with the highest 'Float' value.

Answer

The activity with the lowest baseline duration.

Answer

The activity with the most resource assignments.

Question 2

You are analyzing a decision tree in a project management software. A node shows a probability of 0.3 for a failure costing $100k, and 0.7 for success costing $20k. If the decision to proceed costs $10k, what is the correct Expected Monetary Value (EMV)?

Accepted Answer

$54,000. The EMV is calculated by multiplying each outcome's probability by its monetary value and summing the results, then subtracting any decision cost. Here, the failure path is 0.3 × $100,000 = $30,000, and the success path is 0.7 × $20,000 = $14,000. Summing these gives $44,000, and subtracting the $10,000 decision cost yields $54,000. Thus, option C is correct.

Answer

$44,000

Answer

$60,000

Answer

$34,000

Question 3

You are performing a Monte Carlo simulation in Primavera Risk Analysis. To ensure the simulation captures the uncertainty in activity durations accurately, which setting should you verify in the 'Risk Options' menu?

Accepted Answer

The 'Iteration count' is set to a statistically significant number such as 1,000 or greater.. In Monte Carlo simulation, the iteration count determines the number of random samples drawn from probability distributions. A statistically significant number of iterations, typically 1,000 or more, ensures that the simulation results converge and provide a reliable probability distribution of project outcomes. Fewer iterations can produce unstable and non-representative results.

Answer

The 'Risk Threshold' is set to zero for all activities.

Answer

The 'Resource Calendar' is disabled.

Answer

The 'Baseline Project' is set to read-only mode.

Question 4

In a risk-adjusted schedule simulation, you want to see the impact of resource unavailability. Which feature should you enable?

Accepted Answer

Enable 'Resource Calendars' in the simulation settings.. Enabling 'Resource Calendars' in the simulation settings allows the risk-adjusted schedule simulation to account for resource availability, including unavailability periods such as vacations, holidays, or other commitments. This directly models the impact of resource unavailability on the schedule, which is the goal. Without resource calendars, the simulation assumes resources are always available, leading to inaccurate risk analysis.

Answer

Set all task priorities to 'High'.

Answer

Disable the 'Critical Path Method' (CPM) engine.

Answer

Increase the 'Buffer' duration.

Question 5

Which TWO methods can be used to mitigate the impact of a risk identified through sensitivity analysis?

Accepted Answer

Reduce the impact of the risk if it occurs.. Option B is correct because risk mitigation through sensitivity analysis focuses on reducing the severity of consequences when the identified risk materializes, for example by adding contingency reserves, redundancy, or failover capacity so the impact on the project or system is smaller. Option C is correct because mitigation also includes lowering the likelihood that the risk event occurs, such as by adding preventive controls, better testing, or design changes that address the sensitive variable revealed by the analysis. Together, B and C represent the two standard dimensions of risk mitigation: reducing probability and reducing impact. Option A is not correct because changing the simulation random seed only alters the pseudo-random sequence used in Monte Carlo sampling and does not change the underlying risk exposure. Option D is not correct because simply removing a task from the schedule is avoidance or scope change, not mitigation of the identified risk's impact. Option E is not correct because increasing the iteration count only improves the statistical stability of the simulation results and does not reduce the risk itself.

Answer

Change the simulation random seed.

Answer

Remove the task from the schedule entirely.

Answer

Increase the iteration count of the simulation.

Question 6

Which THREE criteria are used to determine if a risk should be included in a quantitative risk analysis?

Accepted Answer

The risk is identified as a 'top priority' in the risk register.. Option A is correct because risks flagged as 'top priority' in the risk register are explicitly singled out for deeper scrutiny, and quantitative analysis is reserved for the risks that matter most to the project. Option D is correct because high uncertainty means the probability and impact estimates are unreliable, so quantitative techniques such as Monte Carlo simulation or decision-tree analysis are needed to model the range of possible outcomes. Option E is correct because a high potential impact on the project justifies the cost and effort of numerical analysis, since these risks can materially affect cost, schedule, or contingency reserves. Options B and C are not criteria for inclusion: a risk already scheduled for mitigation next month is being handled through the risk response process rather than needing quantification, and a low-probability risk is typically excluded because quantitative analysis is prioritized for risks with meaningful likelihood and consequence.

Answer

The risk is already scheduled to be mitigated next month.

Answer

The risk has a low probability of occurring.

Question 7

Which THREE of the following are key steps when performing a sensitivity analysis on a project schedule?

Accepted Answer

Rank the input variables by their impact on the objective.. Sensitivity analysis on a project schedule begins by clearly defining the project objective being analyzed, such as the finish date or total duration, which is why option E is correct — without a defined objective there is no target to measure variability against. Option A is correct because after establishing the objective, the analyst ranks the input variables (e.g., task durations, resource availability, costs) by how strongly they influence that objective, typically using a tornado diagram to show which drivers matter most. Option B is correct because running the simulation (e.g., Monte Carlo simulation in tools like Primavera Risk Analysis or @RISK) generates the data needed to observe how variables interact and affect the objective, forming the empirical basis of the sensitivity results. Option C is not a valid step because non-critical tasks still consume resources and can influence schedule risk, so deleting them would distort the model rather than improve the analysis. Option D is not part of sensitivity analysis itself; updating the budget is a subsequent response action, not a step in the analysis process, which focuses on identifying and ranking schedule drivers.

Answer

Delete all non-critical tasks from the model.

Answer

Update the project budget based on the results.

Question 8

You are conducting a quantitative risk analysis for a software development project using a Monte Carlo simulation. The project manager asks you to identify which inputs are essential for the simulation to produce meaningful results. Which TWO of the following are required inputs for a Monte Carlo simulation in this context? (Choose two.)

Accepted Answer

Probability distributions for each uncertain variable (e.g., duration, cost).. Monte Carlo simulation requires probability distributions for uncertain variables and correlation coefficients to model dependencies between them. Distributions define the range and likelihood of outcomes, while correlations ensure that relationships between variables are preserved. Without these, the simulation would either be impossible or produce unrealistic results. Other options, such as deterministic schedules, discount rates, or response plans, are not direct inputs to the simulation and serve different purposes in project management.

Answer

A predefined risk response plan for each identified risk.

Answer

A fixed discount rate for cost-benefit analysis.

Answer

A deterministic schedule with no uncertainties.

Question 9

In a decision tree analysis, what occurs if you 'fold back' the decision tree?

Accepted Answer

You determine the optimal path by selecting the branch with the best EMV at each decision node.. Folding back a decision tree involves calculating the EMV at each chance node and then selecting the decision branch with the best EMV at each decision node. This process works backward from the end nodes to the start, determining the optimal path.

Answer

You reset the probabilities of all chance nodes to zero.

Answer

You assign risk scores to each decision alternative.

Answer

You calculate the probability of each branch ending in failure.

Question 10

You are conducting sensitivity analysis using a scatter plot in a simulation tool. What does a tight clustering of data points along a diagonal line suggest?

Accepted Answer

High sensitivity.. In a tornado diagram or scatter plot sensitivity analysis, a tight clustering of data points along a diagonal line indicates a strong positive correlation between the input variable and the outcome. This means small changes in the variable produce predictable, proportional changes in the project outcome, which is the definition of high sensitivity. The variable is therefore a key driver of risk exposure.

Answer

The variable is independent of the outcome.

Answer

Low sensitivity.

Answer

The simulation failed to converge.