PMI-RMP Specialized Risk Analyses — Timed 20 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.

Question 11

In the context of risk-adjusted cost analysis, what is the primary purpose of adding a 'Risk Contingency' reserve to the project budget?

Accepted Answer

To cover identified risks that have been quantified.. A risk contingency reserve is added to the project budget to cover identified risks that have been quantified through risk analysis. It is calculated based on the expected monetary value or simulation results of known risks and is controlled by the project manager. It is distinct from the management reserve, which covers unknown-unknowns.

Answer

To cover scope creep requested by the client.

Answer

To account for inflation over the project lifecycle.

Answer

To replace the management reserve.

Question 12

During a Monte Carlo simulation in @RISK, you notice the project completion date distribution is heavily skewed. Which distribution type is most appropriate for modeling task durations that have a hard 'minimum' but a long 'maximum' tail?

Accepted Answer

Beta distribution.. The Beta distribution is highly flexible and can model task durations with a hard minimum and a long right tail, making it ideal for skewed project completion distributions. In @RISK, the Beta distribution is often used for expert elicitation because it can be bounded between a minimum and maximum while allowing various shapes, including right-skewed. This matches the scenario where durations cannot go below a certain value but can extend significantly beyond the most likely estimate.

Answer

Normal distribution.

Answer

Discrete distribution.

Answer

Uniform distribution.

Question 13

When evaluating project risks using EMV, why is it critical to include both threats and opportunities in the calculation?

Accepted Answer

To provide an accurate assessment of the project's risk exposure.. Expected Monetary Value (EMV) analysis calculates the probability-weighted average outcome of all identified risks. Including both threats (negative EMV) and opportunities (positive EMV) provides a balanced, accurate picture of the project's overall risk exposure, which is essential for setting realistic contingency reserves and making informed decisions. Excluding opportunities would overstate risk and misallocate reserves.

Answer

To double the number of items in the Risk Register.

Answer

To ensure the contingency reserve is maximized.

Answer

To satisfy regulatory reporting requirements.

Question 14

When configuring a simulation in Oracle Primavera Risk Analysis, what is the impact of checking the 'Correlate Task Durations' option?

Accepted Answer

It enables the model to reflect that specific tasks may fluctuate together.. Checking 'Correlate Task Durations' in Oracle Primavera Risk Analysis enables the simulation to model dependencies between task durations, reflecting that certain tasks may fluctuate together due to shared drivers (e.g., weather, resource availability). This produces more realistic risk outputs because it captures correlated uncertainty rather than treating each task's duration as independent.

Answer

It reduces the number of iterations required for convergence.

Answer

It forces all tasks to have the same duration.

Answer

It automatically removes all risk events from the schedule.

Question 15

Which document is the primary input for identifying risks to be included in a quantitative risk analysis?

Accepted Answer

Risk Register.. The Risk Register is the living document that lists every identified risk with its probability, impact, category, and owner, so it is the only input that already contains the risks to be fed into quantitative analysis. Perform Quantitative Risk Analysis takes the Risk Register plus the Risk Management Plan and project documents, then applies numeric techniques such as Monte Carlo simulation or decision trees. Without the register there is no risk inventory to quantify.

Answer

Stakeholder Engagement Plan.

Answer

Lessons Learned Repository.

Answer

Project Charter.

Question 16

You are reviewing a S-curve generated from a cost simulation. What does the P80 value represent on this curve?

Accepted Answer

The cost level with an 80% confidence of being met or bettered.. The P80 value on a cost S-curve derived from Monte Carlo simulation represents the cost threshold at which there is an 80% probability that the actual project cost will be at or below that value. It is a confidence-level metric, not an average or baseline. Risk managers use P-values (P50, P80, P90) to set contingency reserves aligned with organizational risk appetite.

Answer

The average cost of the project.

Answer

The cost value representing the 20th percentile of risks.

Answer

The baseline cost before risk adjustments.

Question 17

You are performing a risk-adjusted schedule analysis using a 'Correlation Coefficient' between two tasks. What does a value of -0.8 indicate?

Accepted Answer

As one task duration increases, the other tends to decrease.. A correlation coefficient of -0.8 indicates a strong negative (inverse) relationship between the two task durations. In risk-adjusted schedule analysis, this means that when one task's duration increases, the other task's duration tends to decrease. The magnitude (0.8) shows the relationship is strong, while the negative sign indicates the direction is opposite.

Answer

The two tasks are perfectly independent.

Answer

The correlation is too weak to be significant.

Answer

The tasks will always finish at the same time.

Question 18

Which of the following is an advantage of using a Monte Carlo simulation over a static schedule analysis?

Accepted Answer

It accounts for the variability of multiple tasks simultaneously.. Monte Carlo simulation accounts for the variability of multiple tasks simultaneously by sampling from probability distributions for each task and running thousands of iterations. This produces a range of possible project completion dates with associated probabilities, unlike static analysis which uses single-point estimates. The key advantage is capturing the combined effect of uncertainty across the entire schedule.

Answer

It provides a single, definitive project completion date.

Answer

It requires less data to perform than static analysis.

Answer

It completely removes the need for expert judgment.

Question 19

In Risk-Adjusted schedule analysis, what is the primary difference between a 'Risk Event' and 'Uncertainty' (duration variability)?

Accepted Answer

Uncertainty affects all tasks, while risk events have a probability of occurrence.. In risk-adjusted schedule analysis, uncertainty (duration variability) is inherent in every task's estimate and affects all tasks, whereas a risk event is a discrete occurrence with a probability of happening and a potential impact. This distinction drives how each is modeled: uncertainty is captured through ranges or distributions on task durations, while risk events are modeled as probabilistic branches or additional activities. Understanding this difference is essential for building accurate schedule simulations.

Answer

Risk events are modeled with triangular distributions.

Answer

Risk events are always more expensive than uncertainty.

Answer

Uncertainty can be mitigated, but risk events cannot.

Question 20

When modeling a risk event that might happen multiple times (e.g., machine breakdowns), what is the most appropriate technique in a simulation?

Accepted Answer

Use frequency modeling (Poisson or similar distribution).. When a risk can occur multiple times during a simulation, frequency modeling with a Poisson or similar distribution captures both how often the event happens and its per-occurrence impact. Monte Carlo tools then sample the number of occurrences per period and multiply by the impact distribution, producing a realistic aggregate exposure. This is the standard technique for recurring events such as machine breakdowns, rework cycles, or defect arrivals.

Answer

Increase the task duration by the total estimated impact.

Answer

Assign a fixed date for each occurrence.

Answer

Delete the task and recreate it as multiple tasks.