PMI Certification PMI-RMP Syllabus Exam Questions Answers

The risk manager is responsible for ensuring that all risks, including secondary risks, are identified and addressed during the risk response planning process. If key secondary risks were missed, the risk manager should be held accountable. (Reference: Project Management Institute. A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, Section 11.5)

The risk manager is responsible for identifying and analyzing risks, as well as planning and implementing risk responses. Secondary risks are those risks that arise as a direct result of implementing a risk response to a specific risk. The risk manager should have considered the potential secondary risks during the risk response planning and updated the risk register accordingly. The project manager should hold the risk manager accountable for missing the secondary risks and ensure that they are properly addressed12

References: 1: PMI Risk Management Professional (PMI-RMP)® Handbook, page 10 2: A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Seventh Edition, page 11.2.2.1

The project risk manager should monitor risk thresholds closely, as they represent the organization's risk appetite. In a project with a low risk appetite, it is essential to ensure that risks are managed within the defined thresholds to address stakeholders' concerns and maintain their confidence in the project's success.

According to the PMI Risk Management Professional (PMI-RMP) Reference Materials, risk thresholds are the measure of acceptable variation around an objective that reflects the risk appetite of the organization1. Risk appetite is the degree of uncertainty an entity is willing to take on in anticipation of a reward2. In this case, the project has a significant impact on the organization and the stakeholders have a low risk appetite, meaning they are not willing to accept much deviation from the project objectives. Therefore, the project risk manager should monitor the risk thresholds closely to ensure that the project risks do not exceed the acceptable level of variation and impact the project performance negatively. By monitoring the risk thresholds, the project risk manager can also identify when risk responses are needed and evaluate their effectiveness.

References: 1: PMI, Practice Standard for Project Risk Management, 2009, p. 20 2: PMI, A Guide to the Project Management Body of Knowledge (PMBOK® Guide), Sixth Edition, 2017, p. 720

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

When conflicts arise in a complex project, performing an assumptions and constraints analysis is the first step in identifying potential risks. This analysis helps clarify the underlying assumptions and constraints that might be contributing to the conflicts, allowing the risk manager to assess whether they are still valid or if they need to be revisited. Addressing these factors can help mitigate conflicts and prevent new risks from emerging​.