PMI Updated PMI-RMP Exam Questions and Answers by bjorn

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 simul-ation technique that uses random values for uncertain variables, such as activity durations, to generate possible outcomes for the project schedule. The simul-ation 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 simul-ation. 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.

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

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

Residual risks are those that remain after implementing risk response strategies. In this scenario, the primary risk is a major power outage that could lead to the failure of the digital platform hosting the new product database. The financial institution has mitigated this risk by installing backup power generators. However, the possibility of a power outage still exists, and the effectiveness of the backup generators cannot be guaranteed with absolute certainty. Therefore, the remaining risk, despite the mitigation measures, is classified as residual risk.

PMI Risk Management Study Guide References:

The PMI-RMP Exam Content Outline defines residual risk as the risk that remains after risk responses have been implemented, highlighting the necessity of monitoring these risks throughout the project lifecycle.

When a team member is struggling to ensure the coverage of all risks in a complex project, the risk manager should develop a risk breakdown structure (RBS). An RBS helps in systematically identifying risks by categorizing them into different levels and areas, making it easier to ensure that all potential risks are considered. This structured approach is particularly useful in complex projects where risks may arise from multiple sources.

PMI advocates the use of an RBS as a best practice for comprehensive risk identification, particularly in large or complex projects where the range of potential risks can be extensive​​.

A contingency plan is pre-planned for specific risk triggers. When the trigger is observed, the contingency plan should be activated as specified. PMBOK® Guide states:

"If a risk trigger occurs, the corresponding contingency plan or fallback plan should be implemented as documented in the risk response plan."

— PMBOK® Guide, 6th Edition, Section 11.6