PMI PMI-RMP Dumps Questions Answers

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

 A SWOT analysis is a risk identification technique that helps to identify high-level and strategic project risks by examining the internal and external factors that may affect the project objectives. A SWOT analysis involves listing the strengths, weaknesses, opportunities, and threats of the project, and then analyzing how they may impact the project positively or negatively. A SWOT analysis can help to uncover potential risks that may not be obvious from other techniques, such as prompt lists, interviews, or brainstorming12

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 risk identification technique that the risk manager should use is the nominal group technique. This technique involves bringing stakeholders together to brainstorm potential risks and then ranking them based on their importance. This allows for interaction and collaboration among stakeholders, which can help ensure that an exhaustive list of risks is created.

The nominal group technique is a risk identification technique that involves the interaction and collaboration of stakeholders to generate an exhaustive list of risks. It is a structured process that allows each participant to share their ideas independently, then rank and prioritize them as a group. This technique ensures that all opinions are considered and reduces the influence of dominant or biased individuals12

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