PMI-SP Duration Estimating 3

Question 1

A PMI-SP professional is applying Monte Carlo analysis to a schedule. What is the PRIMARY output of this simulation technique for duration estimating?

Accepted Answer

A probability distribution of possible project completion dates

Answer

Monte Carlo analysis produces a probability distribution of outcomes, showing the likelihood of completing the project by various dates.

Question 2

A project scheduler is evaluating activity durations considering resource availability. A task requires 40 hours of effort, and the assigned resource is available at 50% capacity. What is the activity duration?

Accepted Answer

80 hours

Answer

When a resource works at 50% capacity, the duration doubles: 40 hours of effort ÷ 0.50 = 80 hours of calendar time.

Question 3

Which factor does NOT directly influence activity duration estimates?

Accepted Answer

Project budget variance

Answer

Project budget variance is a cost metric and does not directly influence how long an activity takes to complete.

Question 4

A project team is using bottom-up estimating for a complex deliverable. What is the FIRST step in this process?

Accepted Answer

Decompose work into smaller, more manageable components

Answer

Bottom-up estimating begins with decomposing work into smaller components so that each piece can be individually estimated and then aggregated.

Question 5

A scheduler reviews historical data showing that similar projects had durations of 12, 15, 14, 13, and 16 months. Using analogous estimating, what duration would be most appropriate for a comparable new project?

Accepted Answer

14 months

Answer

The average (mean) of 12, 15, 14, 13, and 16 is 14 months, making it the most representative analogous estimate.

(PMI-SP) PMI Scheduling Professional Practice Test

(PMI-SP) PMI Scheduling Professional Practice Test

PMI-SP Duration Estimating 3