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CRISC IT Risk Assessment Practice Question

During an IT risk assessment, the risk team calculates the Annualized Loss Expectancy (ALE) for a critical application. Which quantitative risk analysis framework is most commonly used for this calculation?

⚠ Common exam trap

It's easy for candidates to confuse NIST SP 800-30 as the standard for quantitative ALE calculation because it is widely used for risk assessments, but it is primarily qualitative and does not provide the specific quantitative decomposition that FAIR does.

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

FAIR

The Factor Analysis of Information Risk (FAIR) framework is the most commonly used quantitative risk analysis framework for calculating Annualized Loss Expectancy (ALE) because it provides a structured, probabilistic approach to decompose risk into loss event frequency and loss magnitude. Unlike qualitative frameworks, FAIR enables precise ALE computation by modeling threat event frequency, vulnerability, and probable loss, making it the standard for quantitative IT risk assessments in the CRISC domain.

Answer analysis

Option-by-option breakdown

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

  • NIST SP 800-30

    Why it's wrong here

    NIST SP 800-30 is a qualitative risk assessment framework, not designed for ALE calculation.

  • FAIR

    Why this is correct

    FAIR is a quantitative framework that models risk as a function of Loss Event Frequency and Loss Magnitude, used to compute ALE.

  • ISO 31000

    Why it's wrong here

    ISO 31000 provides principles and guidelines for risk management, not a specific quantitative model.

  • COBIT 5

    Why it's wrong here

    COBIT 5 is a governance and management framework, not a quantitative risk analysis framework.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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