Question 409 of 500
IT Risk AssessmenteasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is the Delphi technique with a panel of experts. This approach is most appropriate for a risk assessment of new technology with limited data and high uncertainty because it relies on structured, anonymous rounds of expert judgment to build consensus on risk likelihood and impact, bypassing the need for historical loss data or predefined benchmarks. On the CRISC exam, this question tests your understanding of qualitative methods suited for novel or emerging technologies where empirical data is scarce, often appearing as a scenario-based trap where candidates mistakenly choose quantitative methods like Monte Carlo simulation. Remember the key distinction: when data is scarce, you must turn to expert opinion, not statistical models. A useful memory tip is to think of the Delphi technique as “crowdsourcing wisdom” from experts to fill the data gap.

CRISC IT Risk Assessment Practice Question

This CRISC practice question tests your understanding of it risk assessment. Compare every option against the stated constraints before choosing — the best answer satisfies all requirements, not just the most obvious one. 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.

Which risk assessment approach is most appropriate for a new technology that has limited historical data and high uncertainty?

Question 1easymultiple choice
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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

Delphi technique with a panel of experts.

The Delphi technique is most appropriate for a new technology with limited historical data and high uncertainty because it leverages the collective judgment of a panel of experts through iterative, anonymous rounds to reach a consensus on risk likelihood and impact. This approach does not rely on historical loss data or predefined benchmarks, making it ideal for novel or emerging technologies where empirical data is scarce.

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.

  • Quantitative risk assessment using ALE calculations.

    Why it's wrong here

    Quantitative methods require historical data for frequency and impact estimates, which are unavailable for new technology.

  • Bow-tie analysis to map causes and consequences.

    Why it's wrong here

    Bow-tie is a visualization tool but still requires input data; expert judgment is needed but not the primary approach.

  • Automated risk scoring based on industry benchmarks.

    Why it's wrong here

    Benchmarks may not exist for a new technology, and automated scoring can be inaccurate without data.

  • Delphi technique with a panel of experts.

    Why this is correct

    The Delphi technique is a qualitative method that uses expert consensus, suitable for uncertain environments.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often choose quantitative methods like ALE (Option A) because they seem more 'objective,' failing to recognize that such methods are data-dependent and inappropriate when historical data is absent or unreliable.

Detailed technical explanation

How to think about this question

The Delphi technique mitigates cognitive biases such as groupthink and anchoring by ensuring anonymity and controlled feedback among experts. In practice, a facilitator distributes a questionnaire, aggregates responses, and shares the anonymized summary with the panel for subsequent rounds until convergence is achieved. This method is particularly effective for assessing risks in emerging fields like quantum computing or AI-based systems, where no actuarial data exists and expert intuition must be systematically harnessed.

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: Delphi technique with a panel of experts. — The Delphi technique is most appropriate for a new technology with limited historical data and high uncertainty because it leverages the collective judgment of a panel of experts through iterative, anonymous rounds to reach a consensus on risk likelihood and impact. This approach does not rely on historical loss data or predefined benchmarks, making it ideal for novel or emerging technologies where empirical data is scarce.

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: Jun 25, 2026

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This CRISC practice question is part of Courseiva's free ISACA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the CRISC exam.