CTAL-TTA_001 · Question #61
Part 7 "Test Process & Incident Management" As a technical test analyst, you are involved in a risk analysis session using the Failure Mode and Effect Analysis technique. You are calculating risk…
The correct answer is C. Likelihood and impact. In FMEA (Failure Mode and Effect Analysis), risk is fundamentally assessed by combining likelihood (how probable a failure is to occur) and impact (how severe the consequences are), which together produce a risk priority value - making C the correct answer. Why the distractors…
Question
Part 7 "Test Process & Incident Management" As a technical test analyst, you are involved in a risk analysis session using the Failure Mode and Effect Analysis technique. You are calculating risk priorities. Which of the following are the major factors in this exercise? 1 credit [K2]
Options
- ASeverity and priority
- BFunctionality, reliability, usability, maintainability, efficiency and portability
- CLikelihood and impact
- DFinancial damage, frequency of use and external visibility
How the community answered
(51 responses)- A6% (3)
- B2% (1)
- C90% (46)
- D2% (1)
Explanation
In FMEA (Failure Mode and Effect Analysis), risk is fundamentally assessed by combining likelihood (how probable a failure is to occur) and impact (how severe the consequences are), which together produce a risk priority value - making C the correct answer.
Why the distractors are wrong:
- A (Severity and priority): Severity is relevant, but priority is an output of risk analysis, not an input factor. Likelihood is the missing piece here.
- B (Functionality, reliability, usability, maintainability, efficiency, portability): These are the ISO/IEC 9126 software quality characteristics - a completely different framework unrelated to FMEA risk calculation.
- D (Financial damage, frequency of use, external visibility): These are factors from a different risk model (sometimes used in product/business risk analysis), not the core FMEA formula.
Memory tip: Think of risk as a simple equation - Risk = Likelihood × Impact. If something is very likely but has no impact, or has huge impact but can never happen, it's not truly high-risk. FMEA forces you to weight both dimensions together before assigning a priority.
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