PMI-RMP Dumps with Practice Exam Questions Answers

Adding correlation to the model accounts for the relationship between activities, which can result in increased variability in the model's outcomes. This will increase the standard deviation, which is a measure of the uncertainty in the model.

 According to the PMBOK Guide, 6th edition, Chapter 11: Project Risk Management1, an effect of adding the correlation to the Monte Carlo schedule risk analysis model is that it increases the standard deviation of the model. This is because:

Correlation is the statistical relationship between two or more variables. In a schedule risk analysis, correlation can be used to model the dependency between the durations of different activities. For example, if two activities are positively correlated, it means that if one activity takes longer than expected, the other activity is also likely to take longer than expected. Conversely, if two activities are negatively correlated, it means that if one activity takes longer than expected, the other activity is likely to take shorter than expected.

A Monte Carlo schedule risk analysis is a simulation technique that uses random values for uncertain variables, such as activity durations, to generate possible outcomes for the project schedule. The simulation is repeated many times to produce a probability distribution of the project completion date and duration. The standard deviation is a measure of the variability or dispersion of the distribution. A higher standard deviation means that the distribution is more spread out and less predictable.

Adding correlation to the Monte Carlo schedule risk analysis model increases the standard deviation of the model because it introduces more variability and uncertainty to the simulation. Correlated activities can have a cumulative effect on the project schedule, either positively or negatively, depending on the direction and strength of the correlation. This can result in more extreme outcomes for the project completion date and duration, which increase the spread of the distribution and the standard deviation.

References:

PMBOK Guide, 6th edition, Chapter 11: Project Risk Management1

Risk Management Professional (PMI-RMP)® Exam Cert Guide2

Quantitative risk analysis helps determine the minimum acceptable level of exposure and impact for each risk. It also helps to understand if the maximum level of exposure has been reached before escalating the risk. (Reference: PMBOK Guide, 6th Edition, p. 423)

The team should perform quantitative risk analysis, which is the process of numerically analyzing the effect of identified risks on overall project objectives. Quantitative risk analysis can help the team to establish the minimum acceptable level of exposure and impact for each risk, as well as the maximum level of exposure before escalation. Quantitative risk analysis can also provide probabilistic estimates of project outcomes, such as cost and schedule, and support risk prioritization and decision making. References: PMI, A Guide to the Project Management Body of Knowledge (PMBOK® Guide), Sixth Edition, 2017, p. 399; PMI, The Standard for Risk Management in Portfolios, Programs, and Projects, 2019, p. 69.

According to the PMBOK® Guide1, the risk management plan is a component of the project management plan that describes how risk management activities will be structured and performed. It provides guidance on how the project team will identify, analyze, respond, monitor, and control risks throughout the project life cycle. The risk management plan should be reviewed and updated whenever there are changes in the project scope, schedule, budget, or objectives, as these changes may introduce new risks or affect the existing ones. In this case, the organization’s decision to accelerate a key project is a significant change that may alter the risk profile of the project. Therefore, the first action for the project risk manager to take is to revise the risk management plan to reflect the new situation and ensure that the risk management processes are aligned with the project objectives and constraints. This is part of the Plan Risk Management process in the PMBOK® Guide1. References: 1: A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition

In this scenario, the risk manager is considering a response that could lead to a significant residual risk—excessive additional costs due to overtime. Before proceeding, it is crucial to confirm that the project sponsor is comfortable with the risk appetite for this potential outcome. This step is essential to ensure that the decision to allow overtime aligns with the sponsor's tolerance for additional costs and the overall project risk management strategy. According to the Risk Management Procedure, understanding and aligning with the sponsor's risk appetite is a critical step before implementing risk responses that could impact the project's financials​. This approach ensures that all stakeholders are aware of and agree to the potential consequences of the chosen risk response strategy.

 According to the PMI Risk Management Professional (PMI-RMP)® Examination Content Outline1, one of the tasks in the domain of Risk Identification is to use the information from project documents, lessons learned, and other sources to facilitate the risk identification process1. A risk workshop is a tool and technique for risk identification that involves bringing together the project team, stakeholders, subject matter experts, and risk management experts to identify and analyze the project risks in a structured and collaborative manner2. In this scenario, the risk manager should use the information from the issues and unexpected results found in the first phase of the project for a risk workshop, to avoid the previous issues in the next phase. The risk workshop will help the risk manager and the project team to identify the root causes of the issues, assess their probability and impact, and develop appropriate risk responses. The risk workshop will also enable the risk manager to update the risk register and the risk report with the new information and communicate the risk status to the relevant stakeholders. The risk manager should not improve monitoring and controlling of activities, because that is not a specific action to avoid the previous issues, but rather a general practice that should be done throughout the project life cycle3. The risk manager should not document the issues in the lessons learned, because that is not enough to avoid the previous issues, but rather a way to capture and share the knowledge gained from the project for future reference4. The risk manager should not create an issue log to share with the team, because that is not a proactive risk management technique, but rather a reactive way to track and resolve the issues that have already occurred5. References: 1: PMI Risk Management Professional (PMI-RMP)® Examination Content Outline, page 82: A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, page 4003: A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, page 4564: A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, page 1005: What Is an Issue Log? Templates & Tips6.