PMP Questions ID 4166 you ve identified a risk event on your current project that could save 100 000 in project costs

You've identified a risk event on your current project that could save $100,000 in project costs if it occurs. Which of the following is true based on this statement?

Select one

This is a risk event that should be avoided to take full advantage of the potential savings.

This risk event is an opportunity to the project and should be exploited.

This is a risk event that should be accepted because the rewards outweigh the threat to the project.

This risk event should be mitigated to take advantage of the savings.

Your project has a high degree of uncertainty about the project requirements. You decide to use an agile approach to manage the project in order to achieve which of the following?

Select one

Decrease the risk of rework

Produce accurate requirements in a faster timeframe than in a predictive methodology

Increase knowledge among cross-functional team members, which helps them understand and manage risks

Reduce risk and maximize business delivery

All of the above

You are using criticality analysis to determine risk impact. You have calculated an index for each risk and realize the more activities the risk impacts, the higher the index. The index is used as an input to a simulation. Which risk does criticality analysis assess?

You are performing the Perform Qualitative Risk Analysis process and want to display proximity and connectivity and their impacts on the project. Which of the following methods will you use?

You are using the representations of uncertainty technique of the Perform Quantitative Risk Analysis process. All of the following statements are true regarding this technique except for which one?

Select one

Beta and triangular distributions are commonly used in this process.

Normal and lognormal distributions use mean and standard deviation to quantify risks.

Continuous probability distributions are graphically displayed and depict the impact of the risk event.

Triangular distributions rely on optimistic, pessimistic, and most likely estimates to quantify risks.

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