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Begin with the risk setting
In a selected original case, list the objective, given data and relevant constraints. Identify which facts distinguish an expected-loss task from a tail-loss or scenario task. Do not choose a formula merely because a familiar number appears.
Explain the model boundary
State what the calculation includes and omits. A finite probability model and a sample estimator use different interpretations. A pricing weight and a forecast probability also answer different questions. Link the chosen method to the supplied case facts.
Review the numerical work
Check unit scale, signs and intermediate values with an independent representation. Record whether a wrong answer came from a conceptual boundary or an arithmetic step. The corrective task should match that cause.
Use a mixed application block
Combine several tasks from different risk contexts and retain the reason for each method choice. Review the current official objectives for scope; selected free resources do not certify complete exam coverage.