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

The risk manager should increase stakeholder risk appetite by explaining risk handling and mitigation strategies, which will help stakeholders understand how risks can be managed and reduced, making them more comfortable with the risk process.

The best way to increase stakeholder risk appetite is to explain risk handling and mitigation strategies, which are the actions taken to reduce the probability and/or impact of risks, or to enhance the opportunities. By doing so, the risk manager can help the stakeholders understand how the risks can be managed effectively and efficiently, and how the potential benefits can outweigh the potential costs. This can also increase the stakeholder confidence and trust in the risk process and the project outcomes. The other options are not appropriate ways to increase stakeholder risk appetite. Excluding risk averse stakeholders from future risk discussions can alienate them and create conflicts. Increasing the impact of all risks in the risk breakdown structure (RBS) can exaggerate the risk exposure and create unnecessary fear and anxiety. Developing a generous probabilistic cash flow model can create unrealistic expectations and lead to poor decision making. References: PMI Risk Management Professional (PMI-RMP) Examination Content Outline and Specifications, page 81. A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, pages 403-4042.

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 …