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PK0-005 Parametric estimation Practice Question

A project manager is estimating the cost of a new software development project. They use historical data from a similar project to derive the cost per function point and multiply it by the expected number of function points. Which estimation technique is being used?

⚠ Common exam trap

PK0-005 often tests the confusion between parametric and analogous estimation; candidates may pick analogous because both use historical data, but parametric uses a formula with parameters.

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

✓

Parametric estimation

Parametric estimation uses historical data and statistical relationships between variables to calculate cost. Here, the project manager uses cost per function point from a similar project and multiplies by the expected number of function points, which is a classic parametric approach.

Answer analysis

Option-by-option breakdown

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

  • ✗

    Bottom-up estimation

    Why it's wrong here

    Bottom-up estimation sums detailed work-package or component estimates into a total; it does not apply a historical per-function-point rate. It is tempting because it is also a cost-estimation technique, but bottom-up is correct when a detailed WBS exists and component-level accuracy is required.

  • ✗

    Three-point estimation

    Why it's wrong here

    Three-point estimation derives a weighted average from optimistic, pessimistic and most likely values; it uses no historical cost-per-function-point data. It is tempting because both are quantitative techniques, but three-point estimation is correct when the requirement is expressing estimate uncertainty through a PERT-style distribution.

  • ✓

    Parametric estimation

    Why this is correct

    Parametric estimation uses a statistical relationship between historical data and project variables, here cost per function point multiplied by expected function points. This satisfies the stem's constraint of deriving cost from a measurable unit rate, rather than expert judgement or bottom-up aggregation of individual work packages.

  • ✗

    Analogous estimation

    Why it's wrong here

    Analogous estimation scales a whole prior project's cost by overall similarity; it does not derive a rate per unit. The described method is parametric estimation, which multiplies a known cost per function point by the expected count.

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Last reviewed September 2026 · checked against the official CompTIA exam blueprint

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