Question 139 of 500
IT Risk IdentificationeasyMultiple ChoiceObjective-mapped

CRISC IT Risk Identification Practice Question

This CRISC practice question tests your understanding of it risk identification. 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.

Which risk identification technique relies on analyzing past incidents to predict future risks?

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

Loss event data analysis

Loss event data analysis (B) is the correct risk identification technique because it systematically examines historical incident records, such as security logs, breach reports, and audit findings, to identify patterns and trends that can predict future risks. This empirical approach leverages past loss events to quantify likelihood and impact, making it distinct from generative or qualitative methods.

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.

  • Brainstorming

    Why it's wrong here

    Brainstorming is a creative group activity, not based on past data.

  • Loss event data analysis

    Why this is correct

    Loss event data analysis uses historical incident data to predict future risks.

    Related concept

    Read the scenario before looking for a memorised answer.

  • SWOT analysis

    Why it's wrong here

    SWOT analysis is a strategic tool, not specifically for risk identification.

  • Delphi technique

    Why it's wrong here

    Delphi technique relies on expert opinions, not historical data.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse 'brainstorming' (a forward-looking ideation method) with data-driven analysis, failing to recognize that only loss event data analysis explicitly relies on historical incident records to predict future risks.

Detailed technical explanation

How to think about this question

Loss event data analysis often involves mining structured data from SIEM systems, incident response databases, or risk registers, applying statistical methods like frequency analysis or regression to identify recurring threat vectors (e.g., phishing campaigns targeting specific departments). In practice, this technique is critical for building quantitative risk models, such as Annualized Loss Expectancy (ALE), where historical loss event frequencies directly feed into probability calculations.

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 small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.

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

What is the correct answer to this question?

The correct answer is: Loss event data analysis — Loss event data analysis (B) is the correct risk identification technique because it systematically examines historical incident records, such as security logs, breach reports, and audit findings, to identify patterns and trends that can predict future risks. This empirical approach leverages past loss events to quantify likelihood and impact, making it distinct from generative or qualitative methods.

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.