PMI-RMP Exam Dumps - PMI Risk Management Professional (PMI-RMP) Exam

An affinity diagram is a tool used to visually organize and group risks or ideas based on their similarities and categories. It helps in structuring the risks for further analysis and discussion. (Reference: PMBOK Guide, 6th Edition, p. 138)

 According to the PMBOK Guide, an affinity diagram is a tool and technique for the identify risks process that allows large numbers of ideas to be sorted into groups for review and analysis. An affinity diagram can help the risk manager to visually organize the risks identified in the pre-workshop survey by grouping them into categories based on their similarities or common characteristics. This can help the risk manager to facilitate the risk analysis and prioritization in the workshop, as well as to stimulate new patterns of thinking and generate additional risks.

Some of the other options are not relevant or appropriate for the question scenario:

• The analytical hierarchy process is a technique for the plan risk management process that provides a method for comparing and ranking alternatives based on multiple criteria. It is not a tool for visually organizing risks.
• A SWOT analysis is a technique for the identify risks process that examines the project from the perspective of its strengths, weaknesses, opportunities, and threats. It is not a tool for visually organizing risks, but rather for generating them.
• Assigning probability and impact is a technique for the perform qualitative risk analysis process that assesses the likelihood and the potential effect of each individual risk on the project objectives. It is not a tool for visually organizing risks, but rather for evaluating them.

References: PMBOK Guide, 6th edition, pages 397-399, 414-415, 431-432, 441-442; PMI-RMP Exam Content Outline, 2015, page 7.

The project manager should mitigate risks identified on the sensitivity analysis to ensure the P90 date is met. Sensitivity analysis helps identify the most critical risks that have the potential to impact the project's completion date. By mitigating these risks, the project manager can increase the likelihood of meeting the P90 date.

 According to the PMI Risk Management Professional (PMI-RMP) Reference Materials, the P90 date is the date that has a 90% probability of being met or exceeded by the project completion1. The Monte Carlo analysis is a simulation technique that generates possible outcomes of the project schedule based on the probability distributions of the activity durations2. The sensitivity analysis is a technique that determines how different sources of uncertainty affect the project objectives, such as the completion date3. Therefore, the project manager should mitigate the risks identified on the sensitivity analysis, as they are the most likely to affect the P90 date. By reducing the uncertainty and variability of the project schedule, the project manager can increase the confidence level of meeting the P90 date.

References: 1: PMI, Practice Standard for Project Risk Management, 2009, p. 91 2: PMI, A Guide to the Project Management Body of Knowledge (PMBOK® Guide), Sixth Edition, 2017, p. 215 3: PMI, A Guide to the Project Management Body of Knowledge (PMBOK® Guide), Sixth Edition, 2017, p. 403

According to the PMI Risk Management Professional (PMI-RMP)® Examination Content Outline1, one of the tasks in the domain of Risk Response is to recommend risk response strategies based on the risk appetite and tolerance of the organization and stakeholders1. One of the strategies for negative risks or threats is risk acceptance, which involves acknowledging the existence of a threat and making a conscious decision to accept it without taking any action2. In this scenario, the risk manager should recommend risk acceptance for the risk items that would be detrimental to project success, but the associated triggers cannot be managed by the organization and are unlikely to occur. Risk acceptance is appropriate when the risk exposure is low, the cost of other responses is high, or the risk response is outside the scope or influence of the project3. The risk manager should not recommend risk mitigation, which involves reducing the probability and/or impact of a threat2. The risk manager should not recommend risk enhancement, which is a strategy for positive risks or opportunities, not negative risks or threats2. The risk manager should not recommend risk exploitation, which is also a strategy for positive risks or opportunities, not negative risks or threats2. References: 1: PMI Risk Management Professional (PMI-RMP)® Examination Content Outline, page 102: A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, page 4363: A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, page 437.

The overall goal of selecting strategies during the Plan Risk Response activity is to choose those strategies that have the greatest overall positive influence on the project, considering factors such as cost, schedule, and resources.

According to the PMI Risk Management Professional (PMI-RMP)® Examination Content Outline1, one of the tasks in the domain of Risk Response is to select risk response strategies based on the risk appetite and tolerance of the organization and stakeholders1. The overall goal of selecting risk response strategies is to select the strategies with the greatest overall positive influence on the project objectives, such as scope, schedule, cost, quality, etc. The risk response strategies should aim to enhance the opportunities and reduce the threats to the project, while considering the cost-benefit analysis, the feasibility, and the alignment with the project goals and stakeholder expectations2. The risk response strategies should not be selected based on the least overall impact to resources, because that may not be the most effective or efficient way to address the risks, and it may ignore the potential benefits of some strategies that may require more resources but also deliver more value3. The risk response strategies should not be selected based on the least financial impact, because that may not be the most relevant or comprehensive criterion to evaluate the risks, and it may overlook other aspects of the project, such as quality, customer satisfaction, reputation, etc. that may also be affected by the risks4. The risk response strategies should not be selected based on the greatest benefit to stakeholders, because that may not be the most realistic or achievable goal, and it may create conflicts or trade-offs among different stakeholder groups that may have different or competing interests, needs, and expectations5. References: 1: PMI Risk Management Professional (PMI-RMP)® Examination Content Outline, page 102: A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, page 4403: A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, page 4414: A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, page 4425: A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, page 518.

Regression analysis is a data analysis tool that helps identify variables that impact the schedule and determine how these factors interact. It is used to forecast future performance based on historical data and the relationship between variables. (Reference: PMBOK Guide, 6th Edition, p. 248)

According to the PMI Risk Management Professional (PMI-RMP) Reference Materials, regression analysis is a data analysis tool that examines the relationship between one or more independent variables and a dependent variable1. Regression analysis can be used to forecast future performance based on historical data and trends2. In this case, the risk manager wants to identify which variables will impact the schedule (the dependent variable) and determine how these factors interact (the independent variables). Therefore, the risk manager should use regression analysis to create a mathematical model that can predict the schedule performance based on the values of the variables. Regression analysis can also help the risk manager to assess the significance and strength of the relationship between the variables and the schedule3.

References: 1: PMI, A Guide to the Project Management Body of Knowledge (PMBOK® Guide), Sixth Edition, 2017, p. 720 2: PMI, Practice Standard for Project Risk Management, 2009, p. 95 3: Tips and Tricks for Passing the Risk Management Professional (PMI-RMP …

If a risk still leaves substantial residual risk after implementing the mitigation strategy, the risk manager should revisit the risk register and redefine the mitigation strategy to reduce the residual risk to an acceptable level.

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