Question 418 of 1,000
IT Risk AssessmentmediumMultiple ChoiceObjective-mapped

CRISC IT Risk Assessment Practice Question

This CRISC practice question tests your understanding of it risk assessment. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

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?

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.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

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.

    Related concept

    Read the scenario before looking for a memorised answer.

  • 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.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often 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.

Detailed technical explanation

How to think about this question

FAIR breaks down ALE into two primary components: Loss Event Frequency (LEF) and Probable Loss Magnitude (PLM), where LEF is further decomposed into Threat Event Frequency (TEF) and Vulnerability (Vuln), and PLM includes primary and secondary loss factors. This decomposition allows risk analysts to model uncertainty using Monte Carlo simulations, producing a distribution of ALE values rather than a single point estimate, which is critical for high-stakes applications like financial trading systems or healthcare patient data. In practice, FAIR requires careful calibration of input parameters (e.g., annual rate of occurrence, asset value) using historical data or expert judgment, and misestimating these can lead to ALE errors of several orders of magnitude.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A practitioner preparing for the CRISC exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.

What to study next

Got this wrong? Here's your next step.

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FAQ

Questions learners often ask

What does this CRISC question test?

IT Risk Assessment — This question tests IT Risk Assessment — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: 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.

What should I do if I get this CRISC question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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