PMI PMI-RMP Exam Dumps Questions and Answers

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Exam Code: PMI-RMP

Exam Name: PMI Risk Management Professional (PMI-RMP) Exam

Certification: PMI Certification

Vendor: PMI

Last Update: Apr 15, 2026

Questions: 278 With Expert Explanation

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PMI Related Certification Exams

PMI Risk Management Professional (PMI-RMP) Exam Questions and Answers

Questions 1

One project in a program needs to be completed in 6 months because there is a large bonus for early completion. Consequently, the program manager transfers all resources to this project and arranges for employees to receive overtime pay.

Which risk response strategy is the program manager using in this scenario?

Options:

Escalate

Transfer

Enhance

Exploit

Questions 2

A risk manager and project team are managing a software system project, which is expected to be completed within 12 months. The project is currently halfway through, and the team has just delivered the second version of the prototype. During the weekly status meeting, a team member reported that an important stakeholder is facing an issue, which will likely result in a change request that is outside the scope of the current prototype.

What should the risk manager advise the team to do first?

Options:

Mitigate the risk by asking the team member to gather more information.

Add the risk to the issue log and revisit it when there is more information.

Arrange a meeting with the stakeholder to discuss the risk and information.

Add the risk to the risk register and gather information about its probability and impact.

Questions 3

A mega facility development project is evaluating some options to achieve the project schedule and budget. Each option ' s success is driven by multiple quantifiable factors.

What should the project manager do to evaluate and select the best option based on costs and probabilities?

Options:

Perform a FMECA fault tree analysis

Conduct a sensitivity analysis

Perform a decision tree analysis

Conduct an analytic hierarchy process

Answer:

Explanation:

A decision tree analysis is a tool that helps to evaluate and select the best option among different alternatives based on costs and probabilities. A decision tree analysis uses a graphical representation of a decision problem, where each node represents a decision point, a chance event, or an outcome. The branches of the tree show the possible choices, events, or consequences that can occur at each node. The end nodes of the tree show the expected value or payoff of each option, which is calculated by multiplying the probability and the cost or benefit of each outcome. A decision tree analysis can help to compare the expected values of different options and choose the one that maximizes the benefit or minimizes the cost1. A decision tree analysis can also help to incorporate uncertainty and risk into the decision making process, as it shows the range of possible outcomes and their likelihoods2. Therefore, the project manager should perform a decision tree analysis to evaluate and select the best option based on costs and probabilities for a mega facility development project. Performing a FMECA fault tree analysis, conducting a sensitivity analysis, or conducting an analytic hierarchy process are not the best options to evaluate and select the best option based on costs and probabilities. A FMECA fault tree analysis is a tool that helps to identify and analyze the potential causes and effects of failures in a system or process. It uses a graphical representation of a failure event, where each node represents a basic or intermediate event that contributes to the failure. The branches of the tree show the logical relationships between the events, using AND or OR gates. A FMECA fault tree analysis can help to calculate the probability and severity of failures, as well as to prioritize and mitigate the risks3. However, a FMECA fault tree analysis does not help to compare different options or alternatives, as it focuses on a single failure scenario. Conducting a sensitivity analysis is a tool that helps to measure how the uncertainty in the input variables of a model affects the output or outcome of the model. It uses a graphical or numerical representation of the relationship between the input and output variables, showing how the output changes when the input changes. A sensitivity analysis can help to identify the most critical or influential variables, as well as to test the robustness or reliability of the model4. However, a sensitivity analysis does not help to compare different options or alternatives, as it focuses on a single model or option. Conducting an analytic hierarchy process is a tool that helps to evaluate and select the best option among different alternatives based on multiple criteria. It uses a mathematical method of pairwise comparison, where each alternative is compared to each other in terms of each criterion. The results of the comparisons are then aggregated into a matrix, which shows the relative importance or preference of each alternative. An analytic hierarchy process can help to rank the alternatives and choose the one that best satisfies the criteria5. However, an analytic hierarchy process does not help to incorporate costs and probabilities into the decision making process, as it relies on subjective judgments and preferences. References: 1, 2, 3, 4, 5.

A decision tree analysis is a quantitative risk analysis technique that helps evaluate and select the best option based on costs and probabilities. It visually represents different decision paths and their associated probabilities, allowing the project manager to compare and select the most appropriate option for the project.

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PMI PMI-RMP Exam Dumps Questions and Answers

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