PMI Updated PMI-RMP Exam Questions and Answers by lando

The project manager should provide guidance and coaching to the functional groups on how to properly identify and categorize risks. This will help improve the quality of the risk register and ensure an effective risk response plan can be developed.

The project manager should coach the functional groups on how to properly conduct the process of identifying and categorizing risks, as this will help to improve the quality and consistency of the risk information and to facilitate the development of an effective risk response plan. The project manager should also provide guidance and support on how to use the appropriate tools and techniques, such as risk breakdown structure, risk taxonomy, riskchecklists, risk interviews, and risk workshops, to elicit and document the risks from different perspectives and sources. By coaching the functional groups, the project manager can also enhance their risk awareness and ownership, and foster a collaborative risk culture within the project. References: The Standard for Risk Management in Portfolios, Programs, and Projects, page 71-72; PMBOK Guide, 6th edition, page 397-398.

Sensitivity analysis is a quantitative risk analysis technique used to determine how variations in individual project risks affect project objectives, such as cost, schedule, or performance. Byanalyzing the sensitivity of these variables, the project team can identify which risks have the most significant potential impact on the project. This information is crucial for prioritizing risk responses and allocating resources effectively.

PMI Risk Management Study Guide References:

The PMI-RMP Exam Content Outline includes sensitivity analysis as a key technique in performing quantitative risk analysis, aiding in the identification of high-impact risks that require focused attention.

With 25 identified risks, and considering the constraints and resources available, the appropriate next step is to perform a qualitative risk analysis. This process helps prioritize the risks based on their probability and impact, as well as other relevant factors like urgency, proximity, and detectability. By doing so, the team can focus on the most significant risks that require immediate attention and develop response plans accordingly, optimizing the use of available resources. PMI recommends this approach to ensure that risk management efforts are both efficient and effective in addressing the most critical risks first​.

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