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CRISC IT Risk Assessment Practice Question

Which of the following is a limitation of quantitative risk analysis?

⚠ Common exam trap

CRISC often tests the confusion between qualitative and quantitative limitations—candidates incorrectly attribute subjectivity and communication difficulty (qualitative weaknesses) to quantitative analysis, or mistake its financial comparability for a drawback.

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

✓

It is data-intensive and time-consuming.

Quantitative risk analysis assigns numeric, often monetary, values to risk using models such as ALE (SLE × ARO) or Monte Carlo simulation. Its principal drawback is that it requires substantial historical loss data, asset valuations, and modeling effort, making it resource-intensive and slow to perform compared with qualitative approaches like risk matrices. This data dependency and time cost is the recognized limitation tested here.

Answer analysis

Option-by-option breakdown

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

  • ✗

    Results are not comparable across organizations.

    Why it's wrong here

    Quantitative results are expressed in monetary terms, so they can be aggregated and compared across organisations using the same currency and annualised loss basis. It is tempting because qualitative scales do differ between assessors, which is the limitation of qualitative analysis, not quantitative.

  • ✓

    It is data-intensive and time-consuming.

    Why this is correct

    Quantitative risk analysis assigns monetary values and probabilities, requiring substantial historical loss data, modelling expertise, and calculation effort. This data-intensive, time-consuming nature limits its practicality, satisfying the stem's request for a genuine limitation rather than a benefit of the quantitative approach.

  • ✗

    It is subjective and difficult to communicate.

    Why it's wrong here

    Quantitative analysis produces numeric, financially expressed values that are readily communicated to management and are derived from data rather than judgement. It is tempting because subjectivity and poor communication are genuine weaknesses, but they belong to qualitative risk analysis.

  • ✗

    It does not provide financially meaningful values.

    Why it's wrong here

    Quantitative analysis exists precisely to express risk as monetary values, such as annualised loss expectancy, giving financially meaningful figures for decision-making. It is tempting because qualitative ratings lack financial meaning, which is that method's limitation rather than quantitative analysis's.

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Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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

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