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Process — Managing Technical AspectsmediumMultiple SelectObjective-mapped

PMP Process — Managing Technical Aspects Practice Question

A project is falling behind schedule, and the project manager wants to get it back on track. Which TWO schedule compression techniques are most appropriate?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Crashing

Fast tracking and crashing are the standard schedule compression techniques. Resource smoothing does not compress the schedule; critical chain adds buffers; Monte Carlo is simulation.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Resource smoothing

    Why it's wrong here

    Resource smoothing is a schedule optimization technique used to adjust the start and finish dates of activities within their available float, aiming to level out resource demand without changing the project's critical path. While it effectively optimizes resource utilization by preventing peaks and valleys in resource allocation, it explicitly avoids extending the project completion date and, crucially, cannot be used to compress a schedule that is already behind. Its primary objective is resource optimization, not schedule acceleration.

  • Critical chain method

    Why it's wrong here

    The Critical Chain Method (CCM) is a schedule network analysis technique that focuses on managing project uncertainties by adding non-work buffers (project buffer and feeding buffers) to protect the critical chain from delays caused by resource contention and human behavior. While it aims to improve project delivery by focusing on resource availability and reducing multitasking, the introduction of these buffers inherently extends the theoretical shortest path, making it a method for robust scheduling rather than direct schedule compression when a project is already behind.

  • Monte Carlo simulation

    Why it's wrong here

    Monte Carlo simulation is a quantitative risk analysis technique that models the probability of different outcomes in a process that cannot easily be predicted due to inherent uncertainties. It involves running numerous simulations using a range of possible values for activity durations or costs to estimate the probability distribution of the total project duration or cost. While invaluable for understanding potential schedule risks and their impact, it is an analytical tool for forecasting and risk assessment, not a direct action or technique to compress an already delayed project schedule.

  • Crashing

    Why this is correct

    Crashing is a schedule compression technique that involves adding or increasing resources to critical path activities to shorten their duration, thereby reducing the overall project completion time. This often entails approving overtime, bringing in additional personnel, or using more efficient equipment. While effective for accelerating a project, crashing typically results in increased project costs and potentially higher risks due to the compressed timeline and intensified work, making it a cost-time trade-off.

  • Fast tracking

    Why this is correct

    Fast tracking is a schedule compression technique where activities that would normally be performed in sequence are instead performed in parallel or with some overlap. This involves changing the logical relationships between activities, such as starting a subsequent activity before its predecessor is fully complete. While it can significantly shorten the project duration without necessarily increasing direct costs, fast tracking often increases project risk, rework, and communication overhead due to the concurrent execution of dependent tasks.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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