PMI-RMP · Question #331
Which input could be utilized to perform quantitative risk analysis to reduce uncertainty?
The correct answer is B. Organizational process assets. Organizational process assets, which include historical data, past project files, and risk databases, are a key input to quantitative risk analysis because they supply empirical reference data that reduces uncertainty in numerical estimates.
Question
Which input could be utilized to perform quantitative risk analysis to reduce uncertainty?
Options
- ARisk categorization
- BOrganizational process assets
- CStakeholder register
- DExpert judgment
How the community answered
(46 responses)- A4% (2)
- B93% (43)
- D2% (1)
Why each option
Organizational process assets, which include historical data, past project files, and risk databases, are a key input to quantitative risk analysis because they supply empirical reference data that reduces uncertainty in numerical estimates.
Risk categorization is a technique used during qualitative risk analysis to organize risks by type and is not a primary input that supplies quantitative data for numerical modeling.
Organizational process assets provide quantitative risk analysis with historical project data, risk databases, and lessons learned that inform probability distributions and impact estimates, directly reducing uncertainty by grounding the analysis in empirical evidence from comparable past projects rather than assumptions alone.
The stakeholder register documents stakeholder information and engagement needs, not the historical quantitative data or reference information needed to perform quantitative risk analysis.
Expert judgment is a tool and technique applied during the analysis process, not a formal input to quantitative risk analysis as defined in the process input-tool-output framework.
Concept tested: Inputs to quantitative risk analysis
Source: https://www.pmi.org/pmbok-guide-standards/foundational/pmbok
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