PMI PMI-RMP Based on Real Exam Environment

The project manager should evaluate the risk with the team and update the issueing to address the concerns of the stakeholders and local businesses.

This concern is a potential risk that could affect the project’s reputation, stakeholder satisfaction, and profitability. The project manager should evaluate the risk with the team and update the issue log, which is a tool for documenting and monitoring the resolution of issues that arise during the project. The issue log should include information such as the issue description, the priority, the owner, the status, and the actions taken. The project manager should also communicate with the stakeholders and the local businesses to address their concerns and seek a mutually beneficial solution. The project manager should not ignore the concern, as it could escalate into a bigger problem. The project manager should not discuss the concern with the local business owners alone, as this could bypass the stakeholders and create more conflicts. The project manager should not update the key risks and perform a quantitative risk analysis, as this is a time-consuming and complex process that may not be necessary for this type of risk. The project manager should not adjust the construction work hours to after business hours, as this could incur additional costs, disrupt the project schedule, and affect the workers’ safety and productivity. References: PMI, 2017. A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition. Newtown Square, PA: Project Management Institute, Inc., pp. 115-116, 408-4091

The analysis currently being used is qualitative risk analysis. Qualitative risk analysis involves assessing risks based on their likelihood of occurrence and their potential impact on the project. This type of analysis can help identify biases that may be impacting how team members perceive risks.

Qualitative risk analysis is the process of prioritizing individual project risks for further analysis or action by assessing their probability of occurrence and impact as well as other characteristics. Qualitative risk analysis helps to identify the most significant risks that require attention and response planning. One of the tools and techniques used in qualitative risk analysis is risk data quality assessment, which evaluates the degree to which the data about individual project risks is useful for risk management. Risk data quality assessment considers various aspects of data quality, such as reliability, accuracy, integrity, precision, and bias. Bias is the tendency of human judgment to be influenced by personal or organizational preferences, assumptions, beliefs, or emotions, rather than by objective facts or evidence. Bias can affect how project team members perceive and assess risks, leading to inaccurate or incomplete risk analysis results. Therefore, the risk manager who realizes the project team members have biases impacting how they perceive risks is currently using qualitative risk analysis to prioritize the risks and assess the quality of risk data. References: PMI, Practice Standard for Project Risk Management, 2009, p. 37-38, 41-42.

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.

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